Isaac Lyngaas

1. Optimizing Distributed Training on Frontier for Large Language Models
   2023/12/20 by Sajal Dash, Dash, Sajal, Isaac Lyngaas +13 · 1 voice · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.AI #cs.DC
2. DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
   2023/10/06 by Shuaiwen Leon Song, Bonnie Kruft, Song, Shuaiwen Leon +181 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Decision Sciences · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Materials Science #Scientific Computing and Data Management
3. ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
   2025/05/07 by Xiao Wang, Jong-Youl Choi, Wang, Xiao +33 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Cryospheric studies and observations #Distributed #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Parallel #Remote Sensing in Agriculture #Urban Heat Island Mitigation #and Cluster Computing (cs.DC)
4. Absent, Not Faint: Fisher-Information Limits and a Logarithmic Measurement-Design Cure for Passive Characterization of Coherent Qubit Noise
   2026/07/23 by Yi Pan, Meng Hsiu Tsai, Weihang You +6
   #quant-ph