BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T143037Z
LOCATION:B312-B313A
DTSTART;TZID=America/New_York:20241119T103000
DTEND;TZID=America/New_York:20241119T120000
UID:submissions.supercomputing.org_SC24_sess496@linklings.com
SUMMARY:ACM Gordon Bell Finalists Presentations 1
DESCRIPTION:Pushing the Limit of Quantum Mechanical Simulation to the Rama
 n Spectra of a Biological System with 100 Million Atoms\n\nRaman spectrosc
 opy offers invaluable insights into the chemical composition and structura
 l characteristics of various materials, making it a powerful tool for stru
 ctural analysis. However, accurate quantum mechanical simulations of Raman
  spectra for large systems, such as biological materials, have ...\n\n\nHo
 nghui Shang (University of Science and Technology of China); Ying Liu, Zhi
 kun Wu, and Zhenchuan Chen (Institute of Computing Technology, Chinese Aca
 demy of Sciences); Jinfeng Liu (China Pharmaceutical University); Meiyue S
 hao and Yingzhou Li (Fudan University); Bowen Kan, Huimin Cui, Xiaobing Fe
 ng, and Yunquan Zhang (Institute of Computing Technology, Chinese Academy 
 of Sciences); Donald G. Truhlar (University of Minnesota); Hong An (Univer
 sity of Science and Technology of China); Xiao He (East China Normal Unive
 rsity); and Jinlong Yang (University of Science and Technology of China)\n
 ---------------------\nToward Capturing Genetic Epistasis from Multivariat
 e Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regre
 ssion\n\nWe exploit the widening margin in tensor-core performance between
  [FP64/FP32/FP16/INT8,FP64/FP32/FP16/FP8/INT8] on NVIDIA [Ampere,Hopper] \
 nGPUs to boost the performance of output accuracy-preserving mixed-precisi
 on computation of Genome-Wide Association Studies (GWAS) of 305,000 patien
 ts from the UK...\n\n\nHatem Ltaief (King Abdullah University of Science a
 nd Technology (KAUST)); Rabab Alomairy (Massachusetts Institute of Technol
 ogy (MIT)); Qinglei Cao (Saint Louis University); Jie Ren (King Abdullah U
 niversity of Science and Technology (KAUST)); Lotfi Slim, Thorsten Kurth, 
 and Benedikt Dorschner (NVIDIA Corporation); Salim Bougouffa (King Abdulla
 h University of Science and Technology (KAUST)); Rached Abdelkhalek (NVIDI
 A Corporation); and David E. Keyes (King Abdullah University of Science an
 d Technology (KAUST), Columbia University)\n---------------------\nDemocra
 tizing AI: Open-Source Scalable LLM Training on GPU-Based Supercomputers\n
 \nTraining and fine-tuning large language models (LLMs) with hundreds of b
 illions to trillions of parameters requires tens of thousands of GPUs, and
  a highly scalable software stack. In this work, we present a novel four-d
 imensional hybrid parallel algorithm implemented in a highly scalable, por
 table,...\n\n\nSiddharth Singh, Prajwal Singhania, Aditya Ranjan, and John
  Kirchenbauer (University of Maryland); Jonas Geiping (Max Planck Institut
 e for Intelligent Systems); Yuxin Wen, Neel Jain, Abhimanyu Hans, and Manl
 i Shu (University of Maryland); Aditya Tomar (University of California, Be
 rkeley); and Tom Goldstein and Abhinav Bhatele (University of Maryland)\n\
 nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Barbara Ch
 apman (Hewlett Packard Enterprise (HPE), Stony Brook University)
END:VEVENT
END:VCALENDAR