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J. Gregory Pauloski
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Journal Articles
- 2023
- [j2]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) - 2022
- [j1]J. Gregory Pauloski
, Lei Huang, Weijia Xu, Kyle Chard
, Ian T. Foster
, Zhao Zhang
:
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33(12): 3616-3627 (2022)
Conference and Workshop Papers
- 2023
- [c10]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 - [c9]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 - [c8]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 - [c7]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 - 2021
- [c6]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:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC 2021: 9-20 - [c5]J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard
, Ian T. Foster, Zhao Zhang:
KAISA: an adaptive second-order optimizer framework for deep neural networks. SC 2021: 13 - 2020
- [c4]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Efficient I/O for Neural Network Training with Compressed Data. IPDPS 2020: 409-418 - [c3]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional neural network training with distributed K-FAC. SC 2020: 94 - 2019
- [c2]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC 2019: 69-75 - 2018
- [c1]Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes:
Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. BrainLes@MICCAI (2) 2018: 476-484
Informal and Other Publications
- 2024
- [i10]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) - [i9]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) - 2023
- [i8]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) - [i7]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. CoRR abs/2305.09593 (2023) - [i6]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 Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [i5]Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster:
ScholarBERT: Bigger is Not Always Better. CoRR abs/2205.11342 (2022) - 2021
- [i4]Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster:
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR abs/2101.04617 (2021) - [i3]J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR abs/2107.01739 (2021) - [i2]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:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. CoRR abs/2110.02827 (2021) - 2020
- [i1]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. CoRR abs/2007.00784 (2020)
Coauthor Index
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