J. Gregory Pauloski

45 papers A 5B 3C 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. Future Gener. Comput. Syst. Nathaniel Hudson, Valérie Hayot-Sasson, Yadu Nand Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2025	J	`jnl`	AERO: An autonomous platform for continuous research. CoRR Valérie Hayot-Sasson, Abby Stevens, Nicholson T. Collier, Sudershan Sridhar, Kyle Conroy, J. Gregory Pauloski, Yadu N. Babuji, Maxime Gonthier, Nathaniel Hudson, Dante D. Sánchez-Gallegos, Ian T. Foster, Jonathan Ozik, Kyle Chard
2025	J	`jnl`	Agentic Discovery: Closing the Loop With Cooperative Agents. Computer J. Gregory Pauloski, Kyle Chard, Ian T. Foster
2025	J	`jnl`	Agentic Discovery: Closing the Loop with Cooperative Agents. CoRR J. Gregory Pauloski, Kyle Chard, Ian T. Foster
2025	B	`conf`	COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. PPoPP Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
2025	J	`jnl`	Connecting Large Language Model Agent to High Performance Computing Resource. CoRR Heng Ma, Alexander Brace, Carlo Siebenschuh, J. Gregory Pauloski, Ian T. Foster, Arvind Ramanathan
2025	A	`conf`	D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. ICS Maxime Gonthier, Dante D. Sánchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen, Valérie Hayot-Sasson, J. Gregory Pauloski, Jesús Carretero, Kyle Chard, Ian T. Foster
2025	J	`jnl`	D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. CoRR Maxime Gonthier, Dante D. Sánchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Nguyen, Valérie Hayot-Sasson, J. Gregory Pauloski, Jesús Carretero, Kyle Chard, Ian T. Foster
2025	J	`jnl`	DynoStore: A wide-area distribution system for the management of data over heterogeneous storage. CoRR Dante D. Sánchez-Gallegos, José Luis González Compeán, Maxime Gonthier, Valérie Hayot-Sasson, J. Gregory Pauloski, Haochen Pan, Kyle Chard, Jesús Carretero, Ian T. Foster
2025	J	`jnl`	Employing artificial intelligence to steer exascale workflows with colmena. Int. J. High Perform. Comput. Appl. Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster
2025	J	`jnl`	Empowering Scientific Workflows with Federated Agents. CoRR J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Mansi Sakarvadia, Kyle Chard, Ian T. Foster
2025	—	`conf`	HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. PASC Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Setty, Aswathy Ajith, J. Gregory Pauloski, Varuni Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025	J	`jnl`	HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. CoRR Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Vasanthakumari, Aswathy Ajith, J. Gregory Pauloski, Varuni Katti Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025	J	`jnl`	MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. CoRR Xiaoli Yan, Nathaniel Hudson, Hyun Park, Daniel Grzenda, J. Gregory Pauloski, Marcus Schwarting, Haochen Pan, Hassan Harb, Sam Foreman, Chris Knight, Tom Gibbs, Kyle Chard, Santanu Chaudhuri, Emad Tajkhorshid, Ian T. Foster, Mohamad Moosavi, Logan T. Ward, Eliu A. Huerta
2025	J	`jnl`	Object Proxy Patterns for Accelerating Distributed Applications. IEEE Trans. Parallel Distributed Syst. J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
2025	J	`jnl`	WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. CoRR Sicheng Zhou, Zhuozhao Li, Valérie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster
2024	J	`jnl`	Accelerating Python Applications with Dask and ProxyStore. CoRR J. Gregory Pauloski, Klaudiusz Rydzy, Valérie Hayot-Sasson, Ian T. Foster, Kyle Chard
2024	B	`conf`	An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 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
2024	J	`jnl`	Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster
2024	—	`conf`	Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. SC Workshops Rachana Ananthakrishnan, Yadu N. 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
2024	J	`jnl`	Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2024	J	`jnl`	Object Proxy Patterns for Accelerating Distributed Applications. CoRR J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
2024	B	`conf`	TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard
2024	J	`jnl`	TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard
2024	J	`jnl`	Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR 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
2023	A	`conf`	Accelerating Communications in Federated Applications with Transparent Object Proxies. SC J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
2023	J	`jnl`	Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
2023	—	`conf`	Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 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
2023	J	`jnl`	Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR 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
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	J	`jnl`	GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 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
2023	—	`conf`	The Diminishing Returns of Masked Language Models to Science. ACL (Findings) Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster
2023	C	`conf`	Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 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
2022	J	`jnl`	Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang
2022	J	`jnl`	ScholarBERT: Bigger is Not Always Better. CoRR Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster
2021	J	`jnl`	AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster
2021	—	`conf`	Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster
2021	J	`jnl`	Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. CoRR Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster
2021	J	`jnl`	KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2021	A	`conf`	KAISA: an adaptive second-order optimizer framework for deep neural networks. SC J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2020	J	`jnl`	Convolutional Neural Network Training with Distributed K-FAC. CoRR J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
2020	A	`conf`	Convolutional neural network training with distributed K-FAC. SC J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
2020	A	`conf`	Efficient I/O for Neural Network Training with Compressed Data. IPDPS Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster
2019	—	`conf`	Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster
2018	—	`conf`	Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. BrainLes@MICCAI (2) Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes