Language models for the prediction of SARS-CoV-2 inhibitors. - Andrew E. Blanchard; John Gounley; Debsindhu Bhowmik; Mayanka Chandra Shekar; Isaac Lyngaas; Shang Gao 008; Junqi Yin; Aristeidis Tsaris; Feiyi Wang; Jens Glaser (Int. J. High Perform. Comput. Appl., 2022)

SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library. - Isaac Lyngaas; Matthew R. Norman; Youngsung Kim (Int. J. High Perform. Comput. Appl., 2022)

Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. - 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; et al. (Int. J. High Perform. Comput. Appl., 2022)

Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. - Andrew E. Blanchard; Mayanka Chandra Shekar; Shang Gao 008; John Gounley; Isaac Lyngaas; Jens Glaser; Debsindhu Bhowmik (IEEE Trans. Evol. Comput., 2022)

Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications. - 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 004 (High Performance Computing for Imaging, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Ultra-Long Sequence Distributed Transformer. - Xiao Wang 004; Isaac Lyngaas; Aristeidis Tsaris; Peng Chen 035; Sajal Dash; Mayanka Chandra Shekar; Tao Luo 014; Hong-Jun Yoon; Mohamed Wahib; John Gounley (CoRR, 2023)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (CoRR, 2023)

Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL). - Matthew R. Norman; Isaac Lyngaas; Abhishek Bagusetty; Mark A. Berrill (Int. J. Parallel Program., 2023)

Real-time High-resolution X-Ray Computed Tomography. - Du Wu; Peng Chen 035; Xiao Wang 004; Isaac Lyngaas; Takaaki Miyajima; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (ICS, 2024)

Comparative Study of Large Language Model Architectures on Frontier. - Junqi Yin; Avishek Bose; Guojing Cong; Isaac Lyngaas; Quentin Anthony (IPDPS, 2024)

Adaptive Patching for High-resolution Image Segmentation with Transformers. - Enzhi Zhang; Isaac Lyngaas; Peng Chen 035; Xiao Wang 004; Jun Igarashi; Yuankai Huo; Masaharu Munetomo; Mohamed Wahib (SC, 2024)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; J. Austin Ellis; Matthias Maiterth; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (ISC, 2024)

Scale-up Unlearnable Examples Learning with High-Performance Computing. - Yanfan Zhu; Isaac Lyngaas; Muralikrishnan Gopalakrishnan Meena; Mary Ellen Koran; Bradley A. Malin; Daniel Moyer; Shunxing Bao; Anuj J. Kapadia; Xiao Wang 004; Bennett A. Landman; Yuankai Huo (CoRR, 2025)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. - Xiao Wang 004; Jong-Youl Choi; Takuya Kurihaya; Isaac Lyngaas; Hong-Jun Yoon; Ming Fan; Nasik Muhammad Nafi; Aristeidis Tsaris; Ashwin M. Aji; Maliha Hossain; Mohamed Wahib; Dali Wang; et al. (CoRR, 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. - Aristeidis Tsaris; Isaac Lyngaas; John Lagregren; Mohamed Wahib; Larry M. York; Prasanna Balaprakash; Dan Lu 001; Yi-Fei Wang; Xiao Wang 004 (CoRR, 2025)