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Vijay Gadepally

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affiliation: Massachusetts Institute of Technology, MIT, Lincoln Laboratory, Lexington, MA, USA

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2020 – today

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2025
[c134]
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Rohan Basu Roy, Vijay Gadepally, Devesh Tiwari:
DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments. ASPLOS (1) 2025: 264-279
2024
[c133]
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Sprout: Green Generative AI with Carbon-Efficient LLM Inference. EMNLP 2024: 21799-21813
[c132]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS 2024: 337-349
[c131]
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Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. IPDPS (Workshops) 2024: 459-467
[c130]
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Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner:
HPC with Enhanced User Separation. SC Workshops 2024: 1765-1772
[c129]
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Chansup Byun, Julie Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. PEARC 2024: 65:1-65:4
[i131]
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  - journals/corr/abs-2402-18593
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Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR abs/2402.18593 (2024)
[i130]
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  - journals/corr/abs-2403-12900
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. CoRR abs/2403.12900 (2024)
[i129]
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  - journals/corr/abs-2404-14643
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Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. CoRR abs/2404.14643 (2024)
[i128]
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  - journals/corr/abs-2407-01481
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Chansup Byun, Julia Mullen, Albert Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. CoRR abs/2407.01481 (2024)
[i127]
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  - journals/corr/abs-2407-12391
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
LLM Inference Serving: Survey of Recent Advances and Opportunities. CoRR abs/2407.12391 (2024)
[i126]
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  - journals/corr/abs-2409-03111
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Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas:
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic. CoRR abs/2409.03111 (2024)
[i125]
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  - journals/corr/abs-2409-08115
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Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner:
Anonymized Network Sensing Graph Challenge. CoRR abs/2409.08115 (2024)
[i124]
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  - journals/corr/abs-2409-10770
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Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner:
HPC with Enhanced User Separation. CoRR abs/2409.10770 (2024)
[i123]
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  - journals/corr/abs-2410-00688
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William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. CoRR abs/2410.00688 (2024)
[i122]
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  - journals/corr/abs-2410-21036
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Chansup Byun, Albert Reuther, Julie Mullen, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
LLload: An Easy-to-Use HPC Utilization Tool. CoRR abs/2410.21036 (2024)
[i121]
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  - journals/corr/abs-2410-22254
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Chansup Byun, Albert Reuther, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
GPU Sharing with Triples Mode. CoRR abs/2410.22254 (2024)
2023
[j14]
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  - journals/natmi/FreySASGCG23
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Nathan C. Frey, Ryan Soklaski, Simon Axelrod, Siddharth Samsi, Rafael Gómez-Bombarelli, Connor W. Coley, Vijay Gadepally:
Neural scaling of deep chemical models. Nat. Mac. Intell. 5(11): 1297-1305 (2023)
[j13]
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  - journals/pacmmod/MollFMGC23
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Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella:
SeeSaw: Interactive Ad-hoc Search Over Image Databases. Proc. ACM Manag. Data 1(4): 260:1-260:26 (2023)
[c128]
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  - conf/cloud/ZhaoSMLB0TG23
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Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC 2023: 588-596
[c127]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC 2023: 3-16
[c126]
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  - conf/hpec/ByunABBGHHJJKMMMMPRRSYK23
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. HPEC 2023: 1-7
[c125]
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Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally:
An Analysis of Energy Requirement for Computer Vision Algorithms. HPEC 2023: 1-7
[c124]
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  - conf/hpec/JananthanKJABBBDGGHHKMMMMPPPPRRSTWYM23
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Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. HPEC 2023: 1-9
[c123]
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Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. HPEC 2023: 1-8
[c122]
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  - conf/hpec/KepnerJDBDJABBGHHKMMMPPPPRRSTYM23
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Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas:
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices. HPEC 2023: 1-9
[c121]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. HPEC 2023: 1-7
[c120]
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9
[c119]
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  - conf/sc/LiRWSGT23
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Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC 2023: 19:1-19:15
[c118]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC 2023: 20:1-20:15
[e6]
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Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents]
[i120]
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  - journals/corr/abs-2301-11581
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Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. CoRR abs/2301.11581 (2023)
[i119]
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  - journals/corr/abs-2304-09781
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. CoRR abs/2304.09781 (2023)
[i118]
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  - journals/corr/abs-2306-13177
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. CoRR abs/2306.13177 (2023)
[i117]
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  - journals/corr/abs-2309-01806
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Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas:
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices. CoRR abs/2309.01806 (2023)
[i116]
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  - journals/corr/abs-2309-02464
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Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. CoRR abs/2309.02464 (2023)
[i115]
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  - journals/corr/abs-2309-03931
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. CoRR abs/2309.03931 (2023)
[i114]
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  - journals/corr/abs-2310-00522
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Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. CoRR abs/2310.00522 (2023)
[i113]
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  - journals/corr/abs-2310-03003
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023)
[i112]
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  - journals/corr/abs-2310-09145
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. CoRR abs/2310.09145 (2023)
2022
[c117]
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El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally:
Examples are All You Need: Iterative Data Discovery by Example in Data Lakes. CIDR 2022
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Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. SoCC 2022: 173-189
[c115]
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Oscar R. Moll Thomae, Sam Madden, Vijay Gadepally:
Ad-hoc Searches on Image Databases. Poly/DMAH@VLDB 2022: 3-9
[c114]
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Andrew Bowne, Lindsey McEvoy, Dhruv Gupta, Cameron Brown, Vijay Gadepally, El Kindi Rezig:
A Survey of Data Challenges Across a Modernizing Bureaucracy: A New Perspective on Examining Old Government Problems. Poly/DMAH@VLDB 2022: 10-23
[c113]
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Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari:
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA 2022: 1224-1237
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython for Parallel Python Programming. HPEC 2022: 1-6
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Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC 2022: 1-8
[c110]
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Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Python Implementation of the Dynamic Distributed Dimensional Data Model. HPEC 2022: 1-8
[c109]
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Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, kc claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas:
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic. HPEC 2022: 1-8
[c108]
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Baolin Li, Tirthak Patel, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari:
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. HPEC 2022: 1-7
[c107]
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Joseph McDonald, James M. Kurdzo, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi:
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms. HPEC 2022: 1-7
[c106]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. HPEC 2022: 1-10
[c105]
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Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. HPEC 2022: 1-7
[c104]
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Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi:
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. HPEC 2022: 1-6
[c103]
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Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 2956-2968
[c102]
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Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 3065-3077
[c101]
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, kc claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas:
Temporal Correlation of Internet Observatories and Outposts. IPDPS Workshops 2022: 247-254
[c100]
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops 2022: 708-714
[c99]
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Dan Zhao, Nathan C. Frey, Vijay Gadepally, Siddharth Samsi:
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation. IPDPS Workshops 2022: 715-723
[c98]
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Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari:
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops 2022: 724-731
[c97]
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Nathan C. Frey, Dan Zhao, Simon Axelrod, Michael Jones, David Bestor, Vijay Gadepally, Rafael Gómez-Bombarelli, Siddharth Samsi:
Energy-aware neural architecture selection and hyperparameter optimization. IPDPS Workshops 2022: 732-741
[c96]
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Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. IPDPS Workshops 2022: 742-750
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Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) 2022: 1962-1970
[c94]
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Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari:
Mashup: making serverless computing useful for HPC workflows via hybrid execution. PPoPP 2022: 46-60
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  - books/crc/22/KepnerCcGMMABBBH00PRRSYM22
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Jeremy Kepner, Kenjiro Cho, kc claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. Massive Graph Analytics 2022: 241-285
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Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally:
Graphulo: Linear Algebra Graph Kernels. Massive Graph Analytics 2022: 525-548
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El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13814, Springer 2022, ISBN 978-3-031-23904-5 [contents]
[i111]
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Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce M. Maggs, Peter Michaleas, Chad R. Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takahashi, Tony Tauber, Leah Walker, Doug Stetson:
Zero Botnets: An Observe-Pursue-Counter Approach. CoRR abs/2201.06068 (2022)
[i110]
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Jeremy Kepner, Kenjiro Cho, Kimberly C. Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. CoRR abs/2201.06096 (2022)
[i109]
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  - journals/corr/abs-2201-12419
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Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar:
FastFlows: Flow-Based Models for Molecular Graph Generation. CoRR abs/2201.12419 (2022)
[i108]
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Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR abs/2201.12423 (2022)
[i107]
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  - journals/corr/abs-2203-10230
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas:
Temporal Correlation of Internet Observatories and Outposts. CoRR abs/2203.10230 (2022)
[i106]
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  - journals/corr/abs-2203-13934
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Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas:
GraphBLAS on the Edge: High Performance Streaming of Network Traffic. CoRR abs/2203.13934 (2022)
[i105]
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  - journals/corr/abs-2204-05839
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. CoRR abs/2204.05839 (2022)
[i104]
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  - journals/corr/abs-2205-09646
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Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR abs/2205.09646 (2022)
[i103]
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  - journals/corr/abs-2207-07033
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Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022)
[i102]
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  - journals/corr/abs-2207-11428
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Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. CoRR abs/2207.11428 (2022)
[i101]
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Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari:
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. CoRR abs/2207.11434 (2022)
[i100]
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  - journals/corr/abs-2208-06497
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Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally:
SeeSaw: interactive ad-hoc search over image databases. CoRR abs/2208.06497 (2022)
[i99]
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  - journals/corr/abs-2208-14908
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython for Parallel Python Programming. CoRR abs/2208.14908 (2022)
[i98]
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  - journals/corr/abs-2209-00602
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Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Python Implementation of the Dynamic Distributed Dimensional Data Model. CoRR abs/2209.00602 (2022)
[i97]
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  - journals/corr/abs-2209-05300
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Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi:
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. CoRR abs/2209.05300 (2022)
[i96]
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  - journals/corr/abs-2209-05725
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Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. CoRR abs/2209.05725 (2022)
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  - journals/corr/abs-2210-04055
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. CoRR abs/2210.04055 (2022)
[i94]
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  - journals/corr/abs-2210-05889
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR abs/2210.05889 (2022)
2021
[j12]
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Matthew Hutchinson, Vijay Gadepally:
Video Action Understanding. IEEE Access 9: 134611-134637 (2021)
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  - journals/pvldb/RezigBFPVGS21
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El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Vijay Gadepally, Michael Stonebraker:
DICE: Data Discovery by Example. Proc. VLDB Endow. 14(12): 2819-2822 (2021)
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Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15(1): 21-30 (2021)
[c93]
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  - conf/hpec/BergeronHSWABBG21
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Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
3D Real-Time Supercomputer Monitoring. HPEC 2021: 1-7
[c92]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. HPEC 2021: 1-7
[c91]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. HPEC 2021: 1-6
[c90]
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. HPEC 2021: 1-8
[c89]
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  - conf/hpec/LiGSVT21
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Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari:
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC 2021: 1-8
[c88]
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  - conf/hpec/McDonaldSEBKG21
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Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally:
Improved Compression for Word Embeddings by Scaling Principal Components. HPEC 2021: 1-7
[c87]
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Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad R. Meiners, Peter Michaleas, Adam Tse, Doug Stetson:
Realizing Forward Defense in the Cyber Domain. HPEC 2021: 1-7
[c86]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. HPEC 2021: 1-9
[c85]
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. HPEC 2021: 1-8
[c84]
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Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. HPEC 2021: 1-7
[c83]
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Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. HPEC 2021: 1-5
[c82]
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Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin:
Mathematics of Digital Hyperspace. IPDPS Workshops 2021: 263-271
[c81]
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  - conf/pldi/RoyPGT21
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Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari:
Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models. PLDI 2021: 1280-1295
[c80]
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Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari:
RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. SC 2021: 24
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Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12633, Springer 2021, ISBN 978-3-030-71054-5 [contents]
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El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12921, Springer 2021, ISBN 978-3-030-93662-4 [contents]
[i93]
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  - journals/corr/abs-2103-01986
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El Kindi Rezig, Michael J. Cafarella, Vijay Gadepally:
Technical Report on Data Integration and Preparation. CoRR abs/2103.01986 (2021)
[i92]
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  - journals/corr/abs-2103-15203
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Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin:
Mathematics of Digital Hyperspace. CoRR abs/2103.15203 (2021)
[i91]
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  - journals/corr/abs-2108-02037
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. CoRR abs/2108.02037 (2021)
[i90]
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  - journals/corr/abs-2108-06650
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2108.06650 (2021)
[i89]
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  - journals/corr/abs-2108-06653
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. CoRR abs/2108.06653 (2021)
[i88]
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  - journals/corr/abs-2108-11359
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. CoRR abs/2108.11359 (2021)
[i87]
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Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. CoRR abs/2108.11503 (2021)
[i86]
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Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. CoRR abs/2108.11525 (2021)
[i85]
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  - journals/corr/abs-2109-04532
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Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
3D Real-Time Supercomputer Monitoring. CoRR abs/2109.04532 (2021)
[i84]
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  - journals/corr/abs-2109-08957
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. CoRR abs/2109.08957 (2021)
[i83]
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  - journals/corr/abs-2110-01495
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Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad R. Meiners, Peter Michaleas, Adam Tse, Doug Stetson:
Realizing Forward Defense in the Cyber Domain. CoRR abs/2110.01495 (2021)
[i82]
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  - journals/corr/abs-2111-07140
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Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally:
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. CoRR abs/2111.07140 (2021)
[i81]
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  - journals/corr/abs-2112-03364
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Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally:
Scalable Geometric Deep Learning on Molecular Graphs. CoRR abs/2112.03364 (2021)
[i80]
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  - journals/corr/abs-2112-04977
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Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally:
Bringing Atomistic Deep Learning to Prime Time. CoRR abs/2112.04977 (2021)
2020
[j9]
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  - journals/sigmod/StonebrakerMKG20
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Michael Stonebraker, Timothy G. Mattson, Tim Kraska, Vijay Gadepally:
Poly'19 Workshop Summary: GDPR. SIGMOD Rec. 49(3): 55-58 (2020)
[c79]
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Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
A Polystore Based Database Operating System (DBOS). Poly/DMAH@VLDB 2020: 3-24
[c78]
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El Kindi Rezig, Allan Vanterpool, Vijay Gadepally, Benjamin Price, Michael J. Cafarella, Michael Stonebraker:
Towards Data Discovery by Example. Poly/DMAH@VLDB 2020: 66-71
[c77]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Best of Both Worlds: High Performance Interactive and Batch Launching. HPEC 2020: 1-7
[c76]
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Vijay Gadepally, Mihailo Isakov, Rashmi S. Agrawal, Jeremy Kepner, Karen Gettings, Michel A. Kinsy:
Homomorphic Encryption Based Secure Sensor Data Processing. HPEC 2020: 1-7
[c75]
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Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally:
Accuracy and Performance Comparison of Video Action Recognition Approaches. HPEC 2020: 1-8
[c74]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. HPEC 2020: 1-7
[c73]
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Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Fast Mapping onto Census Blocks. HPEC 2020: 1-8
[c72]
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Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. HPEC 2020: 1-6
[c71]
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Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid. HPEC 2020: 1-7
[c70]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. HPEC 2020: 1-12
[c69]
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Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo:
GraphChallenge.org Triangle Counting Performance. HPEC 2020: 1-9
[c68]
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Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner:
Benchmarking network fabrics for data distributed training of deep neural networks. HPEC 2020: 1-6
[c67]
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  - conf/icassp/DoG20
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Emily H. Do, Vijay Gadepally:
Classifying Anomalies for Network Security. ICASSP 2020: 2907-2911
[c66]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. IPDPS Workshops 2020: 207-210
[i79]
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  - journals/corr/abs-2001-06731
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
AI Data Wrangling with Associative Arrays. CoRR abs/2001.06731 (2020)
[i78]
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  - journals/corr/abs-2001-06935
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2001.06935 (2020)
[i77]
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  - journals/corr/abs-2003-09269
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Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo:
GraphChallenge.org Triangle Counting Performance. CoRR abs/2003.09269 (2020)
[i76]
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  - journals/corr/abs-2004-00190
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Vijay Gadepally, Jeremy Kepner:
Technical Report: Developing a Working Data Hub. CoRR abs/2004.00190 (2020)
[i75]
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  - journals/corr/abs-2004-01181
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. CoRR abs/2004.01181 (2020)
[i74]
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  - journals/corr/abs-2005-03156
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Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar:
Fast Mapping onto Census Blocks. CoRR abs/2005.03156 (2020)
[i73]
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  - journals/corr/abs-2005-09141
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Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. CoRR abs/2005.09141 (2020)
[i72]
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  - journals/corr/abs-2007-07336
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Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid. CoRR abs/2007.07336 (2020)
[i71]
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  - journals/corr/abs-2007-11112
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Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
DBOS: A Proposal for a Data-Centric Operating System. CoRR abs/2007.11112 (2020)
[i70]
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  - journals/corr/abs-2008-00307
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Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Michael Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. CoRR abs/2008.00307 (2020)
[i69]
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  - journals/corr/abs-2008-02223
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Best of Both Worlds: High Performance Interactive and Batch Launching. CoRR abs/2008.02223 (2020)
[i68]
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  - journals/corr/abs-2008-08057
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Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner:
Benchmarking network fabrics for data distributed training of deep neural networks. CoRR abs/2008.08057 (2020)
[i67]
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  - journals/corr/abs-2008-09037
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Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally:
Accuracy and Performance Comparison of Video Action Recognition Approaches. CoRR abs/2008.09037 (2020)
[i66]
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  - journals/corr/abs-2009-00993
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. CoRR abs/2009.00993 (2020)
[i65]
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  - journals/corr/abs-2010-06647
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Matthew Hutchinson, Vijay Gadepally:
Video Action Understanding: A Tutorial. CoRR abs/2010.06647 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[j8]
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Yasar Khan, Antoine Zimmermann, Alokkumar Jha, Vijay Gadepally, Mathieu d'Aquin, Ratnesh Sahay:
One Size Does Not Fit All: Querying Web Polystores. IEEE Access 7: 9598-9617 (2019)
[c65]
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Chansup Byun, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones:
Optimizing Xeon Phi for Interactive Data Analysis. HPEC 2019: 1-6
[c64]
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Chansup Byun, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Large Scale Parallelization Using File-Based Communications. HPEC 2019: 1-7
[c63]
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  - conf/hpec/IsakovGGK19
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Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy:
Survey of Attacks and Defenses on Edge-Deployed Neural Networks. HPEC 2019: 1-8
[c62]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. HPEC 2019: 1-7
[c61]
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Jeremy Kepner, Kenjiro Cho, Kimberly C. Claffy, Vijay Gadepally, Peter Michaleas, Lauren Milechin:
Hypersparse Neural Network Analysis of Large-Scale Internet Traffic. HPEC 2019: 1-11
[c60]
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  - conf/hpec/KepnerH0KMMPRYR19
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Jeremy Kepner, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. HPEC 2019: 1-6
[c59]
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  - conf/hpec/ProutKMMMRSYRKA19
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Andrew Prout, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Securing HPC using Federated Authentication. HPEC 2019: 1-7
[c58]
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  - conf/hpec/ReutherM0GSK19
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. HPEC 2019: 1-9
[c57]
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  - conf/ipps/CailliauDGKLLO19
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Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. IPDPS Workshops 2019: 285-286
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  - books/mc/19/Gadepally14
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Vijay Gadepally:
The BigDAWG codeline. Making Databases Work 2019: 367-376
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  - conf/vldb/2018polydmah
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Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, George Teodoro:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11470, Springer 2019, ISBN 978-3-030-14176-9 [contents]
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Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, Yanhui Laing, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11721, Springer 2019, ISBN 978-3-030-33751-3 [contents]
[i64]
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  - journals/corr/abs-1902-00846
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. CoRR abs/1902.00846 (2019)
[i63]
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  - journals/corr/abs-1903-01982
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Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. CoRR abs/1903.01982 (2019)
[i62]
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  - journals/corr/abs-1905-01294
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Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. CoRR abs/1905.01294 (2019)
[i61]
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  - journals/corr/abs-1905-03592
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Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez:
AI Enabling Technologies: A Survey. CoRR abs/1905.03592 (2019)
[i60]
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  - journals/corr/abs-1907-03195
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Optimizing Xeon Phi for Interactive Data Analysis. CoRR abs/1907.03195 (2019)
[i59]
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  - journals/corr/abs-1907-04217
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. CoRR abs/1907.04217 (2019)
[i58]
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  - journals/corr/abs-1908-07573
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Securing HPC using Federated Authentication. CoRR abs/1908.07573 (2019)
[i57]
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  - journals/corr/abs-1908-11348
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. CoRR abs/1908.11348 (2019)
[i56]
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  - journals/corr/abs-1909-01241
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  - https://dblp.org/rec/journals/corr/abs-1909-01241
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Large Scale Parallelization Using File-Based Communications. CoRR abs/1909.01241 (2019)
[i55]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. CoRR abs/1909.05631 (2019)
[i54]
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  - journals/corr/abs-1911-11932
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Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy:
Survey of Attacks and Defenses on Edge-Deployed Neural Networks. CoRR abs/1911.11932 (2019)
2018
[j7]
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  - journals/sigmod/ShayBGHMC18
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Richard Shay, Uri Blumenthal, Vijay Gadepally, Ariel Hamlin, John Darby Mitchell, Robert K. Cunningham:
Don't Even Ask: Database Access Control through Query Control. SIGMOD Rec. 47(3): 17-22 (2018)
[c56]
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  - conf/hpec/0001KORABBBGHHK18
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. HPEC 2018: 1-6
[c55]
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. HPEC 2018: 1-6
[c54]
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Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin T. Pedretti, Albert Reuther, Thomas L. Sterling, Mike Stonebraker:
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines. HPEC 2018: 1-8
[c53]
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi:
Sparse Deep Neural Network Exact Solutions. HPEC 2018: 1-8
[c52]
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Lauren Milechin, Vijay Gadepally, Jeremy Kepner:
Database Operations in D4M.j1. HPEC 2018: 1-5
[c51]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. HPEC 2018: 1-5
[c50]
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. HPEC 2018: 1-6
[c49]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. HPEC 2018: 1-7
[c48]
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. IPDPS Workshops 2018: 279-286
[c47]
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Julia S. Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. ISC Workshops 2018: 655-668
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Xiangyao Yu, Vijay Gadepally, Stan Zdonik, Tim Kraska, Michael Stonebraker:
FastDAWG: Improving Data Migration in the BigDAWG Polystore System. Poly/DMAH@VLDB 2018: 3-15
[i53]
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. CoRR abs/1803.01281 (2018)
[i52]
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  - journals/corr/abs-1805-09675
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. CoRR abs/1805.09675 (2018)
[i51]
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  - journals/corr/abs-1807-03165
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
Sparse Deep Neural Network Exact Solutions. CoRR abs/1807.03165 (2018)
[i50]
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  - journals/corr/abs-1807-05308
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Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin T. Pedretti, Albert Reuther, Thomas L. Sterling, Mike Stonebraker:
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines. CoRR abs/1807.05308 (2018)
[i49]
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  - journals/corr/abs-1807-07814
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. CoRR abs/1807.07814 (2018)
[i48]
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  - journals/corr/abs-1807-08703
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. CoRR abs/1807.08703 (2018)
[i47]
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  - journals/corr/abs-1808-04345
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. CoRR abs/1808.04345 (2018)
[i46]
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  - journals/corr/abs-1808-05138
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Lauren Milechin, Vijay Gadepally, Jeremy Kepner:
Database Operations in D4M.jl. CoRR abs/1808.05138 (2018)
[i45]
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  - journals/corr/abs-1808-08353
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. CoRR abs/1808.08353 (2018)
2017
[j6]
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  - journals/jpdc/MullenBGSRK17
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Julia S. Mullen, Chansup Byun, Vijay Gadepally, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Learning by doing, High Performance Computing education in the MOOC era. J. Parallel Distributed Comput. 105: 105-115 (2017)
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  - journals/pvldb/MollZPMSG17
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Oscar R. Moll, Aaron Zalewski, Sudeep Pillai, Samuel Madden, Michael Stonebraker, Vijay Gadepally:
Exploring big volume sensor data with Vroom. Proc. VLDB Endow. 10(12): 1973-1976 (2017)
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Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner:
Polystore mathematics of relational algebra. IEEE BigData 2017: 3180-3189
[c44]
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Ran Tan, Rada Chirkova, Vijay Gadepally, Timothy G. Mattson:
Enabling query processing across heterogeneous data models: A survey. IEEE BigData 2017: 3211-3220
[c43]
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Tim Mattson, Vijay Gadepally, Zuohao She, Adam Dziedzic, Jeff Parkhurst:
Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. CIDR 2017
[c42]
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Laura J. Brattain, Mihnea Bulugioiu, Adam Brewster, Mark Hernandez, Heejin Choi, Taeyun Ku, Kwanghun Chung, Vijay Gadepally:
A cloud-based brain connectivity analysis tool. HPEC 2017: 1-6
[c41]
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  - conf/hpec/ByunKABBGHHJKMM17
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor. HPEC 2017: 1-6
[c40]
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Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker:
BigDAWG version 0.1. HPEC 2017: 1-7
[c39]
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  - conf/hpec/JonesKABBGHHMPR17
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance measurements of supercomputing and cloud storage solutions. HPEC 2017: 1-5
[c38]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming graph challenge: Stochastic block partition. HPEC 2017: 1-12
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended database and language capabilities. HPEC 2017: 1-6
[c36]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud portal workspace: Enabling HPC web application deployment. HPEC 2017: 1-6
[c35]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
Static graph challenge: Subgraph isomorphism. HPEC 2017: 1-6
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Katherine Yu, Vijay Gadepally, Michael Stonebraker:
Database engine integration and performance analysis of the BigDAWG polystore system. HPEC 2017: 1-7
[c33]
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  - conf/sp/FullerVYSHGSMC17
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Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham:
SoK: Cryptographically Protected Database Search. IEEE Symposium on Security and Privacy 2017: 172-191
[c32]
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  - conf/vldb/BegoliCGP17
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Edmon Begoli, James Blair Christian, Vijay Gadepally, Stavros Papadopoulos:
An Emerging Role for Polystores in Precision Medicine. DMAH@VLDB 2017: 41-52
[i44]
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Kyle O'Brien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker:
BigDAWG Polystore Release and Demonstration. CoRR abs/1701.05799 (2017)
[i43]
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Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner:
D4M 3.0. CoRR abs/1702.03253 (2017)
[i42]
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Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham:
SoK: Cryptographically Protected Database Search. CoRR abs/1703.02014 (2017)
[i41]
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Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker:
Version 0.1 of the BigDAWG Polystore System. CoRR abs/1707.00721 (2017)
[i40]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor. CoRR abs/1707.03515 (2017)
[i39]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment. CoRR abs/1707.05900 (2017)
[i38]
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance Measurements of Supercomputing and Cloud Storage Solutions. CoRR abs/1708.00544 (2017)
[i37]
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended Database and Language Capabilities. CoRR abs/1708.02934 (2017)
[i36]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William S. Song, Diane Staheli, Jeremy Kepner:
Static Graph Challenge: Subgraph Isomorphism. CoRR abs/1708.06866 (2017)
[i35]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming Graph Challenge: Stochastic Block Partition. CoRR abs/1708.07883 (2017)
[i34]
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Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner:
Polystore Mathematics of Relational Algebra. CoRR abs/1712.00802 (2017)
2016
[c31]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
LLMapReduce: Multi-level map-reduce for high performance data analysis. HPEC 2016: 1-8
[c30]
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Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison:
Julia implementation of the Dynamic Distributed Dimensional Data Model. HPEC 2016: 1-7
[c29]
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Peinan Chen, Vijay Gadepally, Michael Stonebraker:
The BigDawg monitoring framework. HPEC 2016: 1-6
[c28]
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Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG polystore system and architecture. HPEC 2016: 1-6
[c27]
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Ankush M. Gupta, Vijay Gadepally, Michael Stonebraker:
Cross-engine query execution in federated database systems. HPEC 2016: 1-6
[c26]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database. HPEC 2016: 1-9
[c25]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM provisioning systems. HPEC 2016: 1-5
[c24]
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  - conf/hpec/JunNGA16
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Sang Woo Jun, Huy T. Nguyen, Vijay Gadepally, Arvind:
In-storage embedded accelerator for sparse pattern processing. HPEC 2016: 1-7
[c23]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative array model of SQL, NoSQL, and NewSQL databases. HPEC 2016: 1-9
[c22]
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Thomas Moyer, Vijay Gadepally:
High-throughput ingest of data provenance records into Accumulo. HPEC 2016: 1-6
[c21]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC security with a user-based firewall. HPEC 2016: 1-4
[c20]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB data import on HPC systems. HPEC 2016: 1-5
[c19]
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Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner:
Benchmarking the graphulo processing framework. HPEC 2016: 1-5
[c18]
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  - conf/ipps/GavinGK16
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Brendan Gavin, Vijay Gadepally, Jeremy Kepner:
Enforced Sparse Non-negative Matrix Factorization. IPDPS Workshops 2016: 902-911
[c17]
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Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley C. Kuszmaul, Jeremy Kepner:
PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms. IPDPS Workshops 2016: 929-937
[i33]
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Vijay Gadepally, Jennie Duggan, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG Architecture. CoRR abs/1602.08791 (2016)
[i32]
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Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley C. Kuszmaul, Jeremy Kepner:
PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms. CoRR abs/1603.01876 (2016)
[i31]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM Provisioning Systems. CoRR abs/1606.05794 (2016)
[i30]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative Array Model of SQL, NoSQL, and NewSQL Databases. CoRR abs/1606.05797 (2016)
[i29]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database. CoRR abs/1606.07085 (2016)
[i28]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC Security with a User-Based Firewall. CoRR abs/1607.02982 (2016)
[i27]
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Vijay Gadepally, Ashok K. Krishnamurthy:
A Framework for Estimating Long Term Driver Behavior. CoRR abs/1607.03189 (2016)
[i26]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
LLMapReduce: Multi-Level Map-Reduce for High Performance Data Analysis. CoRR abs/1607.06543 (2016)
[i25]
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Thomas Moyer, Vijay Gadepally:
High-throughput Ingest of Provenance Records into Accumulo. CoRR abs/1608.03780 (2016)
[i24]
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Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison:
Julia Implementation of the Dynamic Distributed Dimensional Data Model. CoRR abs/1608.04041 (2016)
[i23]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB Data Import on HPC Systems. CoRR abs/1609.07545 (2016)
[i22]
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Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG Polystore System and Architecture. CoRR abs/1609.07548 (2016)
[i21]
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Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner:
Benchmarking the Graphulo Processing Framework. CoRR abs/1609.08642 (2016)
[i20]
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  - journals/corr/JunNGA16
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Sang Woo Jun, Huy T. Nguyen, Vijay Gadepally, Arvind:
In-Storage Embedded Accelerator for Sparse Pattern Processing. CoRR abs/1611.03380 (2016)
2015
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Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik:
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8(12): 1908-1911 (2015)
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Vijay Gadepally, Taylor Herr, Luke Johnson, Lauren Milechin, Maja Milosavljevic, Benjamin A. Miller:
Sampling operations on big data. ACSSC 2015: 1515-1519
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Lauren Edwards, Luke Johnson, Maja Milosavljevic, Vijay Gadepally, Benjamin A. Miller:
Sampling large graphs for anticipatory analytics. HPEC 2015: 1-6
[c14]
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Vijay Gadepally, Jeremy Kepner:
Using a Power Law distribution to describe big data. HPEC 2015: 1-5
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Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
D4M: Bringing associative arrays to database engines. HPEC 2015: 1-6
[c12]
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Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner:
Big Data strategies for Data Center Infrastructure management using a 3D gaming platform. HPEC 2015: 1-6
[c11]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs:
Graphulo implementation of server-side sparse matrix multiply in the Accumulo database. HPEC 2015: 1-7
[c10]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Lustre, hadoop, accumulo. HPEC 2015: 1-5
[c9]
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Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia:
Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics. HPEC 2015: 1-8
[c8]
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Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner:
Improving Big Data visual analytics with interactive virtual reality. HPEC 2015: 1-6
[c7]
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Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther:
Enabling on-demand database computing with MIT SuperCloud database management system. HPEC 2015: 1-6
[c6]
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Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. IPDPS Workshops 2015: 822-830
[i19]
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Jeremy Kepner, Julian Chaidez, Vijay Gadepally, Hayden Jansen:
Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs. CoRR abs/1501.05709 (2015)
[i18]
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Vijay Gadepally, Braden Hancock, Benjamin Kaiser, Jeremy Kepner, Peter Michaleas, Mayank Varia, Arkady Yerukhimovich:
Computing on Masked Data to improve the Security of Big Data. CoRR abs/1504.01287 (2015)
[i17]
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Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia:
Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics. CoRR abs/1506.08503 (2015)
[i16]
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Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner:
Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform. CoRR abs/1506.08505 (2015)
[i15]
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Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther:
Enabling On-Demand Database Computing with MIT SuperCloud Database Management System. CoRR abs/1506.08506 (2015)
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Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner:
Improving Big Data Visual Analytics with Interactive Virtual Reality. CoRR abs/1506.08754 (2015)
[i13]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs:
Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database. CoRR abs/1507.01066 (2015)
[i12]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Lustre, Hadoop, Accumulo. CoRR abs/1507.02357 (2015)
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Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
D4M: Bringing Associative Arrays to Database Engines. CoRR abs/1508.07371 (2015)
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Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. CoRR abs/1508.07372 (2015)
[i9]
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Vijay Gadepally, Jeremy Kepner:
Using a Power Law Distribution to describe Big Data. CoRR abs/1509.00504 (2015)
[i8]
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Brendan Gavin, Vijay Gadepally, Jeremy Kepner:
Large Enforced Sparse Non-Negative Matrix Factorization. CoRR abs/1510.05237 (2015)
2014
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Vijay Gadepally, Ashok K. Krishnamurthy, Ümit Özgüner:
A Framework for Estimating Driver Decisions Near Intersections. IEEE Trans. Intell. Transp. Syst. 15(2): 637-646 (2014)
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Vijay Gadepally, Jeremy Kepner:
Big data dimensional analysis. HPEC 2014: 1-6
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Achieving 100, 000, 000 database inserts per second using Accumulo and D4M. HPEC 2014: 1-6
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham:
Computing on masked data: a high performance method for improving big data veracity. HPEC 2014: 1-6
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Sophia Yakoubov, Vijay Gadepally, Nabil Schear, Emily Shen, Arkady Yerukhimovich:
A survey of cryptographic approaches to securing big-data analytics in the cloud. HPEC 2014: 1-6
[i7]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Achieving 100, 000, 000 database inserts per second using Accumulo and D4M. CoRR abs/1406.4923 (2014)
[i6]
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham:
Computing on Masked Data: a High Performance Method for Improving Big Data Veracity. CoRR abs/1406.5751 (2014)
[i5]
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Ashok K. Krishnamurthy, Siddharth Samsi, Vijay Gadepally:
Parallel MATLAB Techniques. CoRR abs/1407.2636 (2014)
[i4]
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Vijay Gadepally, Jeremy Kepner:
Big Data Dimensional Analysis. CoRR abs/1408.0517 (2014)
[i3]
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Vijay Gadepally, Ashok K. Krishnamurthy, Ümit Özgüner:
A Hands-on Education Program on Cyber Physical Systems for High School Students. CoRR abs/1408.0521 (2014)
[i2]
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Zachary J. Weber, Vijay Gadepally:
Using 3D Printing to Visualize Social Media Big Data. CoRR abs/1409.7724 (2014)
[i1]
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas:
Percolation Model of Insider Threats to Assess the Optimum Number of Rules. CoRR abs/1412.8699 (2014)
2011
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Vijay Gadepally, Arda Kurt, Ashok K. Krishnamurthy, Ümit Özgüner:
Driver/vehicle state estimation and detection. ITSC 2011: 582-587
2010
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Siddharth Samsi, Vijay Gadepally, Ashok K. Krishnamurthy:
MATLAB for Signal Processing on Multiprocessors and Multicores. IEEE Signal Process. Mag. 27(2): 40-49 (2010)

2000 – 2009

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2009
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David E. Hudak, Neil Ludban, Ashok K. Krishnamurthy, Vijay Gadepally, Siddharth Samsi, John Nehrbass:
A Computational Science IDE for HPC Systems: Design and Applications. Int. J. Parallel Program. 37(1): 91-105 (2009)

Coauthor Index

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