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Ian T. Foster
Person information
- affiliation: University of Chicago, IL, USA
- affiliation: Argonne National Laboratory, Lemont, IL, USA
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2020 – today
- 2025
- [j188]Thomas Bouvier
, Bogdan Nicolae, Alexandru Costan
, Tekin Bicer, Ian T. Foster, Gabriel Antoniu:
Efficient distributed continual learning for steering experiments in real-time. Future Gener. Comput. Syst. 162: 107438 (2025) - [j187]Logan T. Ward
, J. Gregory Pauloski
, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace
, Ryan Chard, Kyle Chard, Rajeev Thakur
, Ian T. Foster
:
Employing artificial intelligence to steer exascale workflows with colmena. Int. J. High Perform. Comput. Appl. 39(1): 52-64 (2025) - [j186]J. Gregory Pauloski
, Valérie Hayot-Sasson
, Logan T. Ward
, Alexander Brace, André Bauer, Kyle Chard
, Ian T. Foster
:
Object Proxy Patterns for Accelerating Distributed Applications. IEEE Trans. Parallel Distributed Syst. 36(2): 253-265 (2025) - [i146]Ian T. Foster, Carl Kesselman:
Computational Grids. CoRR abs/2501.01316 (2025) - 2024
- [j185]Rafael Ferreira da Silva
, Rosa M. Badia
, Deborah Bard
, Ian T. Foster
, Shantenu Jha
, Frédéric Suter
:
Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing. Computer 57(8): 36-44 (2024) - [j184]Torsten Hoefler
, Marcin Copik
, Pete Beckman
, Andrew Jones
, Ian T. Foster
, Manish Parashar
, Daniel A. Reed
, Matthias Troyer
, Thomas C. Schulthess
, Dan Ernst
, Jack J. Dongarra
:
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. Comput. Sci. Eng. 26(3): 40-51 (2024) - [j183]André Bauer
, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
:
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153: 558-574 (2024) - [j182]Nathaniel Hudson
, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster:
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Gener. Comput. Syst. 157: 250-263 (2024) - [j181]Weijian Zheng
, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster
:
Globus service enhancements for exascale applications and facilities. Int. J. High Perform. Comput. Appl. 38(6): 658-670 (2024) - [j180]Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer
, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev:
De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. Int. J. Inf. Sec. 23(2): 1149-1169 (2024) - [j179]Michael Stenger
, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer
:
Evaluation is key: a survey on evaluation measures for synthetic time series. J. Big Data 11(1): 66 (2024) - [j178]Andrew S. Lee
, Sarah Elliott
, Hassan Harb, Logan T. Ward
, Ian T. Foster, Larry A. Curtiss
, Rajeev S. Assary
:
Emin: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability. J. Chem. Inf. Model. 64(4): 1277-1289 (2024) - [j177]Michael Stenger
, André Bauer
, Thomas Prantl
, Robert Leppich
, Nathaniel Hudson
, Kyle Chard
, Ian T. Foster
, Samuel Kounev
:
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16(2): 14:1-14:32 (2024) - [j176]K. J. Schmidt
, Aristana Scourtas
, Logan T. Ward
, Steve Wangen
, Marcus Schwarting
, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs
, Lane Schultz, Doyeon Kim, Michael C. Ferris
, Paul M. Voyles
, Dane Morgan
, Ian T. Foster
, Ben Blaiszik
:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. J. Open Source Softw. 9(93): 5467 (2024) - [c454]Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CCGrid 2024: 245-254 - [c453]André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10 - [c452]Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science 2024: 1-9 - [c451]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science 2024: 1-10 - [c450]Maksim Levental
, Arham Khan
, Ryan Chard
, Kazutomo Yoshii
, Kyle Chard
, Ian T. Foster
:
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART 2024: 10-17 - [c449]Maksim Levental
, Arham Khan
, Ryan Chard
, Kyle Chard
, Stephen Neuendorffer
, Ian T. Foster
:
An End-to-End Programming Model for AI Engine Architectures. HEART 2024: 135-136 - [c448]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. IPDPS 2024: 217-229 - [c447]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) 2024: 1175-1177 - [c446]Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian T. Foster, Sandeep Madireddy, Aditya Grover:
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. NeurIPS 2024 - [c445]Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. SC 2024: 7 - [c444]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. SC Workshops 2024: 496-507 - [c443]Rachana Ananthakrishnan, Yadu Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang:
Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. SC Workshops 2024: 597-606 - [c442]André Bauer
, Timo Dittus
, Martin Straesser
, Alok Kamatar
, Matt Baughman
, Lukas Beierlieb
, Marius Hadry
, Daniel Grillmeyer
, Yannik Lubas
, Samuel Kounev
, Ian T. Foster
, Kyle Chard
:
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis. ICPE (Companion) 2024: 72-76 - [c441]Xiaolong Ma
, Feng Yan
, Lei Yang
, Ian T. Foster
, Michael E. Papka
, Zhengchun Liu
, Rajkumar Kettimuthu
:
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE 2024: 190-200 - [c440]Joe Bottigliero
, Rachana Ananthakrishnan
, Kyle Chard
, Ryan Chard
, Ian T. Foster
:
Zero Code and Infrastructure Research Data Portals. PEARC 2024: 36:1-36:4 - [c439]Rachana Ananthakrishnan
, Yadu N. Babuji
, Matt Baughman
, Josh Bryan
, Kyle Chard
, Ryan Chard
, Ben Clifford
, Ian T. Foster
, Daniel S. Katz
, Kevin Hunter Kesling
, Chris Janidlo
, Reid Mello
, Lei Wang
:
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC 2024: 62:1-62:5 - [d5]K. J. Schmidt
, Aristana Scourtas
, Logan T. Ward
, Steve Wangen, Marcus Schwarting
, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs
, Lane Schultz, Doyeon Kim, Michael Ferris
, Paul M. Voyles
, Dane Morgan
, Ian T. Foster
, Ben Blaiszik
:
Foundry-ML (latest). Zenodo, 2024 - [d4]K. J. Schmidt
, Aristana Scourtas
, Logan T. Ward
, Steve Wangen, Marcus Schwarting
, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs
, Lane Schultz, Doyeon Kim, Michael Ferris
, Paul M. Voyles
, Dane Morgan
, Ian T. Foster
, Ben Blaiszik
:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.5.0. Zenodo, 2024 [all versions] - [d3]K. J. Schmidt
, Aristana Scourtas
, Logan T. Ward
, Steve Wangen, Marcus Schwarting
, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs
, Lane Schultz, Doyeon Kim, Michael Ferris
, Paul M. Voyles
, Dane Morgan
, Ian T. Foster
, Ben Blaiszik
:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version 2. Zenodo, 2024 [all versions] - [d2]K. J. Schmidt
, Aristana Scourtas
, Logan T. Ward
, Steve Wangen, Marcus Schwarting
, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs
, Lane Schultz, Doyeon Kim, Michael Ferris
, Paul M. Voyles
, Dane Morgan
, Ian T. Foster
, Ben Blaiszik
:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.7.4. Zenodo, 2024 [all versions] - [i145]André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster:
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024) - [i144]Torsten Hoefler, Marcin Copik
, Pete Beckman, Andrew Jones
, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra:
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR abs/2401.04552 (2024) - [i143]Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - [i142]Zhi Hong, Kyle Chard, Ian T. Foster:
Combining Language and Graph Models for Semi-structured Information Extraction on the Web. CoRR abs/2402.14129 (2024) - [i141]Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster:
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR abs/2403.06077 (2024) - [i140]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR abs/2403.19257 (2024) - [i139]Yuanjian Liu, Huihao Luo, Zhijun Han, Yao Hu, Yehui Yang, Kyle Chard, Sheng Di, Ian T. Foster, Jiesheng Wu:
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework. CoRR abs/2404.02163 (2024) - [i138]Marcus Schwarting, Nathan A. Seifert, Michael J. Davis, Ben Blaiszik, Ian T. Foster, Kirill Prozument:
Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule? CoRR abs/2404.04225 (2024) - [i137]Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR abs/2404.15668 (2024) - [i136]Lukasz Lacinski, Lee Liming, Steven Turoscy, Cameron Harr, Kyle Chard, Eli Dart, Paul Durack, Sasha Ames, Forrest M. Hoffman, Ian T. Foster:
Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study. CoRR abs/2404.19717 (2024) - [i135]Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster:
SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation. CoRR abs/2405.09939 (2024) - [i134]Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani:
Oil & Water? Diffusion of AI Within and Across Scientific Fields. CoRR abs/2405.15828 (2024) - [i133]Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CoRR abs/2406.03285 (2024) - [i132]Ashka Shah, Adela DePavia, Nathaniel Hudson, Ian T. Foster, Rick Stevens:
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning. CoRR abs/2406.06348 (2024) - [i131]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR abs/2406.17710 (2024) - [i130]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. CoRR abs/2407.01764 (2024) - [i129]Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev, Leonardo S. A. Martins, Alban Puech, Anna Varbella, Jonas Weiss, Juan Bernabé-Moreno, Alexandre Blondin Massé, Seong Choi, Ian T. Foster, Bri-Mathias S. Hodge, Rishabh Jain, Kibaek Kim, Vincent Mai, François Mirallès, Martin De Montigny, Octavio Ramos-Leaños, Hussein Suprême, Le Xie, El-Nasser S. Youssef, Arnaud Zinflou, Alexander J. Belvi, Ricardo J. Bessa, Bishnu Prasad Bhattari, Johannes Schmude, Stanislav Sobolevsky:
A Perspective on Foundation Models for the Electric Power Grid. CoRR abs/2407.09434 (2024) - [i128]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024) - [i127]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR abs/2408.07236 (2024) - [i126]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR abs/2408.14434 (2024) - [i125]Michela Taufer, Valerio Pascucci, Christine R. Kirkpatrick, Ian T. Foster:
Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future. CoRR abs/2408.14627 (2024) - [i124]Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard:
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR abs/2409.16495 (2024) - [i123]Xuefeng Liu, Songhao Jiang, Xiaotian Duan, Archit Vasan, Chong Liu, Chih-chan Tien, Heng Ma, Thomas S. Brettin, Fangfang Xia, Ian T. Foster, Rick L. Stevens:
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. CoRR abs/2410.00709 (2024) - [i122]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization In Language Models. CoRR abs/2410.02159 (2024) - [i121]J. Gregory Pauloski, Klaudiusz Rydzy, Valérie Hayot-Sasson, Ian T. Foster, Kyle Chard:
Accelerating Python Applications with Dask and ProxyStore. CoRR abs/2410.12092 (2024) - [i120]Arham Khan, Todd Nief, Nathaniel Hudson, Mansi Sakarvadia, Daniel Grzenda, Aswathy Ajith, Jordan Pettyjohn, Kyle Chard, Ian T. Foster:
SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. CoRR abs/2410.12927 (2024) - [i119]Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - [i118]Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster:
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication. CoRR abs/2411.04257 (2024) - 2023
- [j175]Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian T. Foster, Prashant J. Shenoy, Omer F. Rana
, Andrew A. Chien:
Serverless Computing: What It Is, and What It Is Not? Commun. ACM 66(9): 80-92 (2023) - [j174]Ryan Chard, Jim Pruyne, Kurt McKee
, Josh Bryan
, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard
, Ian T. Foster
:
Globus automation services: Research process automation across the space-time continuum. Future Gener. Comput. Syst. 142: 393-409 (2023) - [j173]Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
, Michael W. Irvin, Defne G. Ozgulbas
, Natalia Vassilieva, J. Gregory Pauloski
, Logan T. Ward
, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin
, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster
, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
:
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023) - [j172]Melanie Po-Leen Ooi, Shaleeza Sohail
, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana
, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos
, Harshaan Nagra
:
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26(9): 21-31 (2023) - [j171]Rosa M. Badia
, Ian T. Foster
, Dejan S. Milojicic
:
Future of HPC. IEEE Internet Comput. 27(1): 5-6 (2023) - [j170]Panos Patros
, Melanie Ooi, Victoria Huang
, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed
, Omer F. Rana
, Ryan Chard
, Kyle Chard
, Ian T. Foster
:
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023) - [c438]Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster:
The Diminishing Returns of Masked Language Models to Science. ACL (Findings) 2023: 1270-1283 - [c437]Nathaniel Hudson
, J. Gregory Pauloski
, Matt Baughman
, Alok Kamatar
, Mansi Sakarvadia
, Logan T. Ward
, Ryan Chard
, André Bauer
, Maksim Levental
, Wenyi Wang
, Will Engler
, Owen Price Skelly
, Ben Blaiszik
, Rick Stevens
, Kyle Chard
, Ian T. Foster
:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - [c436]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer
, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP 2023: 342-356 - [c435]Martin Straesser, André Bauer
, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - [c434]Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid 2023: 299-310 - [c433]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - [c432]Mihael Hategan-Marandiuc
, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. e-Science 2023: 1-10 - [c431]Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster:
Lazy Python Dependency Management in Large-Scale Systems. e-Science 2023: 1-10 - [c430]Carl Kesselman
, Robert Schuler
, Ian T. Foster
:
Let's Put the Science in eScience. e-Science 2023: 1-3 - [c429]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Can Automated Metadata Extraction Make Scientific Data More Navigable? e-Science 2023: 1-10 - [c428]Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science 2023: 1-10 - [c427]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142 - [c426]Lipeng Wan
, Jieyang Chen
, Xin Liang
, Ana Gainaru
, Qian Gong
, Qing Liu
, Ben Whitney
, Joy Arulraj
, Zhengchun Liu
, Ian T. Foster
, Scott Klasky
:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [c425]Yuanjian Liu
, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS 2023: 703-713 - [c424]Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. Tiny Papers @ ICLR 2023 - [c423]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur
, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 2023: 32-41 - [c422]Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang:
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. NeurIPS 2023 - [c421]Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops 2023: 404-407 - [c420]J. Gregory Pauloski
, Valérie Hayot-Sasson
, Logan T. Ward
, Nathaniel Hudson
, Charlie Sabino
, Matt Baughman
, Kyle Chard
, Ian T. Foster
:
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC 2023: 59:1-59:15 - [c419]Matt Baughman
, Nathaniel Hudson
, Ryan Chard
, André Bauer
, Ian T. Foster
, Kyle Chard
:
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115 - [c418]Aditya Dhakal
, Philipp Raith
, Logan T. Ward
, Rolando P. Hong Enriquez
, Gourav Rattihalli
, Kyle Chard
, Ian T. Foster
, Dejan S. Milojicic
:
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops 2023: 1606-1613 - [c417]Alexander Brace
, Rafael Vescovi
, Ryan Chard
, Nickolaus D. Saint
, Arvind Ramanathan
, Nestor J. Zaluzec
, Ian T. Foster
:
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. SC Workshops 2023: 2140-2146 - [c416]Tobias Ginsburg
, Kyle Hippe
, Ryan Lewis
, Aileen Cleary
, Doga Ozgulbas
, Rory Butler
, Casey Stone
, Abraham Stroka
, Rafael Vescovi
, Ian T. Foster
:
Exploring Benchmarks for Self-Driving Labs using Color Matching. SC Workshops 2023: 2147-2152 - [c415]André Bauer
, Martin Straesser
, Mark Leznik
, Lukas Beierlieb
, Marius Hadry
, Nathaniel Hudson
, Kyle Chard
, Samuel Kounev
, Ian T. Foster
:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99 - [c414]Nickolaus D. Saint
, Ryan Chard
, Rafael Vescovi
, Jim Pruyne
, Ben Blaiszik
, Rachana Ananthakrishnan
, Michael E. Papka
, Rick Wagner
, Kyle Chard
, Ian T. Foster
:
Active Research Data Management with the Django Globus Portal Framework. PEARC 2023: 43-51 - [c413]Rachana Ananthakrishnan
, Josh Bryan
, Kyle Chard
, Ryan Chard
, Kurt McKee
, Ada Nikolaidis
, Jim Pruyne
, Stephen Rosen
, Ian T. Foster
:
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. PEARC 2023: 283-287 - [d1]Martin Straesser
, André Bauer
, Robert Leppich
, Nikolas Herbst
, Kyle Chard
, Ian T. Foster
, Samuel Kounev
:
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023 - [i117]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023) - [i116]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR abs/2303.08803 (2023) - [i115]