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Nathan R. Tallent
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2020 – today
- 2024
- [c41]Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Hua Ming:
Graph Analytics on Jellyfish topology. IPDPS 2024: 839-851 - [c40]Joshua Suetterlein, Stephen J. Young, J. esun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger:
Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS 2024: 310-312 - [i3]Waqwoya Abebe, Jan Strube
, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari:
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR abs/2404.06638 (2024) - 2023
- [j9]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen
, Nathan R. Tallent, Kevin J. Barker
, Ang Li:
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. 177: 53-67 (2023) - [c39]Hyungro Lee
, Luanzheng Guo
, Meng Tang
, Jesun Firoz
, Nathan R. Tallent
, Anthony Kougkas
, Xian-He Sun
:
Data Flow Lifecycles for Optimizing Workflow Coordination. SC 2023: 58:1-58:15 - 2022
- [j8]Sayan Ghosh
, Nathan R. Tallent
, Mahantesh Halappanavar:
Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. 33(4): 915-928 (2022) - [c38]Ozgur O. Kilic
, Nathan R. Tallent
, Yasodha Suriyakumar, Chenhao Xie, Andrès Márquez
, Stéphane Eranian:
MemGaze: Rapid and Effective Load-Level Memory Trace Analysis. CLUSTER 2022: 484-495 - [c37]Nathan R. Tallent:
ReWorDs 2022 Keynote: Towards Orchestrating Distributed & Data-Intensive Workflows. e-Science 2022: 442 - [c36]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen
, Nathan R. Tallent, Kevin J. Barker
, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS 2022: 515-525 - [c35]Arun V. Sathanur, Nathan R. Tallent, Patrick Konsor, Ken Koyanagi, Ryan McLaughlin, Joseph Olivas, Michael Chynoweth:
QuaL2 M: Learning Quantitative Performance of Latency-Sensitive Code. IPDPS Workshops 2022: 913-923 - [i2]Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR abs/2201.08560 (2022) - 2021
- [j7]Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç
, Karen D. Devine, S. M. Ferdous
, Nitin Gawande
, Sayan Ghosh, Mahantesh Halappanavar
, Ananth Kalyanaraman, Arif Khan, Marco Minutoli
, Alex Pothen
, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent
, Antonino Tumeo:
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35(6): 553-571 (2021) - [c34]Oceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent
, Faisal Nawab, Darrell D. E. Long:
WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling. IEEE BigData 2021: 3031-3041 - [c33]Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent
, Justas Balcas, Maria Spiropulu:
Diolkos: improving ethernet throughput through dynamic port selection. CF 2021: 83-92 - [c32]Sayan Ghosh, Nathan R. Tallent
, Marco Minutoli
, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman:
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC 2021: 55 - 2020
- [j6]Nitin A. Gawande
, Jeff A. Daily
, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu:
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. 108: 1162-1172 (2020) - [j5]Ang Li
, Shuaiwen Leon Song, Jieyang Chen
, Jiajia Li
, Xu Liu
, Nathan R. Tallent
, Kevin J. Barker
:
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. 31(1): 94-110 (2020) - [c31]Ryan D. Friese
, Burcu Ozcelik Mutlu
, Nathan R. Tallent
, Joshua Suetterlein
, Jan Strube
:
Effectively Using Remote I/O For Work Composition in Distributed Workflows. IEEE BigData 2020: 426-433 - [c30]Reet Barik, Marco Minutoli
, Mahantesh Halappanavar, Nathan R. Tallent
, Ananth Kalyanaraman:
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC 2020: 240-251 - [c29]Oceane Bel, Kenneth Chang, Nathan R. Tallent, Dirk Düllmann, Ethan L. Miller, Faisal Nawab, Darrell D. E. Long:
Geomancy: Automated Performance Enhancement through Data Layout Optimization. ISPASS 2020: 119-120 - [c28]Ozgur O. Kilic
, Nathan R. Tallent
, Ryan D. Friese
:
Rapid Memory Footprint Access Diagnostics. ISPASS 2020: 273-284
2010 – 2019
- 2019
- [c27]Joshua Suetterlein
, Ryan D. Friese, Nathan R. Tallent
, Malachi Schram
:
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. IEEE BigData 2019: 383-394 - [c26]Ozgur O. Kilic
, Nathan R. Tallent
, Ryan D. Friese:
Rapidly Measuring Loop Footprints. CLUSTER 2019: 1-9 - [i1]Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker:
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR abs/1903.04611 (2019) - 2018
- [c25]Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent
:
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData 2018: 3905-3914 - [c24]Ryan D. Friese
, Nathan R. Tallent
, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
:
Optimizing Distributed Data-Intensive Workflows. CLUSTER 2018: 279-289 - [c23]Ang Li, Shuaiwen Leon Song, Jieyang Chen
, Xu Liu, Nathan R. Tallent
, Kevin J. Barker
:
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC 2018: 191-202 - [c22]Tanveer Hossain Bhuiyan
, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre
, Arun V. Sathanur, Nathan R. Tallent
:
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP 2018: 107-126 - 2017
- [c21]Ryan D. Friese
, Nathan R. Tallent
, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
:
Generating Performance Models for Irregular Applications. IPDPS 2017: 317-326 - [c20]Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson:
Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. IPDPS Workshops 2017: 399-408 - [c19]Nathan R. Tallent
, Nitin A. Gawande
, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
:
Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC 2017: 3-21 - [c18]Nathan R. Tallent
, Darren J. Kerbyson, Adolfy Hoisie:
Representative paths analysis. SC 2017: 34 - 2016
- [c17]Nathan R. Tallent
, Joseph B. Manzano
, Nitin A. Gawande
, Seunghwa Kang, Darren J. Kerbyson, Adolfy Hoisie
, Joseph K. Cross:
Algorithm and Architecture Independent Benchmarking with SEAK. IPDPS 2016: 63-72 - [c16]Abhinav Vishnu, Hubertus Van Dam
, Nathan R. Tallent
, Darren J. Kerbyson, Adolfy Hoisie
:
Fault Modeling of Extreme Scale Applications Using Machine Learning. IPDPS 2016: 222-231 - [c15]Nathan R. Tallent
, Kevin J. Barker
, Daniel G. Chavarría-Miranda, Antonino Tumeo
, Mahantesh Halappanavar, Andrès Márquez
, Darren J. Kerbyson, Adolfy Hoisie:
Modeling the Impact of Silicon Photonics on Graph Analytics. NAS 2016: 1-11 - [c14]Nathan R. Tallent, Kevin J. Barker
, Roberto Gioiosa, Andrès Márquez
, Gokcen Kestor
, Leon Song, Antonino Tumeo
, Darren J. Kerbyson, Adolfy Hoisie
:
Assessing Advanced Technology in CENATE. NAS 2016: 1-2 - 2015
- [c13]Nitin A. Gawande
, Joseph B. Manzano
, Antonino Tumeo
, Nathan R. Tallent
, Darren J. Kerbyson, Adolfy Hoisie
:
Power and performance trade-offs for Space Time Adaptive Processing. ASAP 2015: 41-48 - [c12]Nathan R. Tallent
, Abhinav Vishnu, Hubertus Van Dam
, Jeff Daily
, Darren J. Kerbyson, Adolfy Hoisie
:
Diagnosing the causes and severity of one-sided message contention. PPoPP 2015: 130-139 - [c11]Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent
, Darren J. Kerbyson:
Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC 2015: 3:1-3:9 - [c10]Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent
, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
:
A case for application-oblivious energy-efficient MPI runtime. SC 2015: 29:1-29:12 - 2014
- [c9]Nathan R. Tallent
, Adolfy Hoisie
:
Palm: easing the burden of analytical performance modeling. ICS 2014: 221-230 - 2011
- [c8]Nathan R. Tallent, John M. Mellor-Crummey
, Michael Franco
, Reed Landrum, Laksono Adhianto:
Scalable fine-grained call path tracing. ICS 2011: 63-74 - [c7]Nathan R. Tallent, John M. Mellor-Crummey
:
Using Sampling to Understand Parallel Program Performance. Parallel Tools Workshop 2011: 13-25 - 2010
- [j4]Laksono Adhianto, S. Banerjee, Michael W. Fagan, Mark Krentel, Gabriel Marin, John M. Mellor-Crummey, Nathan R. Tallent:
HPCTOOLKIT: tools for performance analysis of optimized parallel programs. Concurr. Comput. Pract. Exp. 22(6): 685-701 (2010) - [c6]Laksono Adhianto, John M. Mellor-Crummey
, Nathan R. Tallent:
Effectively Presenting Call Path Profiles of Application Performance. ICPP Workshops 2010: 179-188 - [c5]Nathan R. Tallent, John M. Mellor-Crummey
, Allan Porterfield:
Analyzing lock contention in multithreaded applications. PPoPP 2010: 269-280 - [c4]Nathan R. Tallent, Laksono Adhianto, John M. Mellor-Crummey
:
Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles. SC 2010: 1-11
2000 – 2009
- 2009
- [j3]Nathan R. Tallent, John M. Mellor-Crummey
:
Identifying Performance Bottlenecks in Work-Stealing Computations. Computer 42(11): 44-50 (2009) - [c3]Nathan R. Tallent, John M. Mellor-Crummey
, Michael W. Fagan:
Binary analysis for measurement and attribution of program performance. PLDI 2009: 441-452 - [c2]Nathan R. Tallent, John M. Mellor-Crummey
:
Effective performance measurement and analysis of multithreaded applications. PPoPP 2009: 229-240 - [c1]Nathan R. Tallent, John M. Mellor-Crummey
, Laksono Adhianto, Michael W. Fagan, Mark Krentel:
Diagnosing performance bottlenecks in emerging petascale applications. SC 2009 - 2008
- [j2]Jean Utke, Uwe Naumann, Michael W. Fagan, Nathan R. Tallent, Michelle Mills Strout, Patrick Heimbach
, Chris Hill, Carl Wunsch:
OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. ACM Trans. Math. Softw. 34(4): 18:1-18:36 (2008) - 2002
- [j1]John M. Mellor-Crummey, Robert J. Fowler, Gabriel Marin, Nathan R. Tallent:
HPCVIEW: A Tool for Top-down Analysis of Node Performance. J. Supercomput. 23(1): 81-104 (2002)
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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