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Isaac Lyngaas
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2020 – today
- 2024
- [c5]Du Wu
, Peng Chen
Real-time High-resolution X-Ray Computed Tomography. ICS 2024: 110-123 - [c4]Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, Quentin Anthony:
Comparative Study of Large Language Model Architectures on Frontier. IPDPS 2024: 556-569 - [c3]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib:
Adaptive Patching for High-resolution Image Segmentation with Transformers. SC 2024: 76 - [c2]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. ISC 2024: 1-11 - [i5]Junqi Yin
Comparative Study of Large Language Model Architectures on Frontier. CoRR abs/2402.00691 (2024) - [i4]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo:
Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR abs/2404.09707 (2024) - 2023
- [j5]Matthew R. Norman
Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL). Int. J. Parallel Program. 51(4-5): 209-230 (2023) - [c1]Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas
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 2023: 1-7 - [i3]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
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i2]Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
Ultra-Long Sequence Distributed Transformer. CoRR abs/2311.02382 (2023) - [i1]Sajal Dash, Isaac Lyngaas, Junqi Yin
Optimizing Distributed Training on Frontier for Large Language Models. CoRR abs/2312.12705 (2023) - 2022
- [j4]Matthew R. Norman
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. Int. J. High Perform. Comput. Appl. 36(1): 93-105 (2022) - [j3]Isaac Lyngaas
SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library. Int. J. High Perform. Comput. Appl. 36(2): 214-230 (2022) - [j2]Andrew E. Blanchard
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36(5-6): 587-602 (2022) - [j1]Andrew E. Blanchard
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. IEEE Trans. Evol. Comput. 26(4): 793-799 (2022)
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