Isaac Lyngaas

21 papers A 5C 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models.
SC
Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang
2025 J jnl
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models.
CoRR
Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Yi-Fei Wang, Xiao Wang
2025 A conf
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
SC
Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2025 J jnl
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
CoRR
Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2025 J jnl
Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure.
CoRR
Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
Scale-up Unlearnable Examples Learning with High-Performance Computing.
CoRR
Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo
2024 A conf
Adaptive Patching for High-resolution Image Segmentation with Transformers.
SC
Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib
2024 J jnl
Adaptive Patching for High-resolution Image Segmentation with Transformers.
CoRR
Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
2024 A conf
Comparative Study of Large Language Model Architectures on Frontier.
IPDPS
Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, Quentin Anthony
2024 J jnl
Comparative Study of Large Language Model Architectures on Frontier.
CoRR
Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, Quentin Anthony
2024 C conf
Optimizing Distributed Training on Frontier for Large Language Models.
ISC
Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2024 A conf
Real-time High-resolution X-Ray Computed Tomography.
ICS
Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
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
Optimizing Distributed Training on Frontier for Large Language Models.
CoRR
Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2023 — conf
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.
High Performance Computing for Imaging
Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang
2023 J jnl
Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL).
Int. J. Parallel Program.
Matthew R. Norman, Isaac Lyngaas, Abhishek Bagusetty, Mark A. Berrill
2023 J jnl
Ultra-Long Sequence Distributed Transformer.
CoRR
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
2022 J jnl
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model.
IEEE Trans. Evol. Comput.
Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik
2022 J jnl
Language models for the prediction of SARS-CoV-2 inhibitors.
Int. J. High Perform. Comput. Appl.
Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser
2022 J jnl
SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library.
Int. J. High Perform. Comput. Appl.
Isaac Lyngaas, Matthew R. Norman, Youngsung Kim
2022 J jnl
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer.
Int. J. High Perform. Comput. Appl.
Matthew R. Norman, David A. Bader, Christopher Eldred, Walter M. Hannah, Benjamin R. Hillman, Christopher R. Jones, Jungmin M. Lee, L. Ruby Leung, Isaac Lyngaas, Kyle G. Pressel, Sarat Sreepathi, Mark A. Taylor, Xingqiu Yuan