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DTSTAMP:20210916T132529Z
LOCATION:Henry Dunant
DTSTART;TZID=Europe/Stockholm:20210705T133000
DTEND;TZID=Europe/Stockholm:20210705T150000
UID:submissions.pasc-conference.org_PASC21_sess104@linklings.com
SUMMARY:AP01 - ACM Papers
DESCRIPTION:Paper\n\nDeploying Scientific AI Networks at Petaflop Scale on
  Secure Large Scale HPC Production Systems with Containers.\n\nBrayford, A
 tanasov, Vallecorsa\n\nThe ever-increasing need for computational power to
  train complex models to tackle “real world” scientific proble
 ms, requires High Performance Computing (HPC) resources to efficiently com
 pute and scale complex models across thousands of nodes. In this paper, we
  discuss the issues associa...\n\n---------------------\nScalable HPC & AI
  Infrastructure for COVID-19 Therapeutics\n\nJha\n\nCOVID-19 has claimed m
 ore 2.4M lives and resulted in over 125M infections. There is an urgent ne
 ed to identify drugs that can inhibit SARS-CoV-2. We discuss innovations i
 n computational infrastructure and methods that are accelerating and advan
 cing drug design. Specifically, we describe several meth...\n\n-----------
 ----------\nStream-AI-MD: Streaming AI-driven Adaptive Molecular Simulatio
 ns for Heterogeneous Computing Platforms\n\nBrace, Salim, Subbiah, Ma, Ema
 ni...\n\nEmerging hardware tailored for artificial intelligence (AI) and m
 achine learning (ML) methods provide novel means to couple them with tradi
 tional high performance computing (HPC) workflows involving multi-scale mo
 lecular dynamics (MD) simulations. We propose <em>Stream-AI-MD</em>, a nov
 el instance o...\n\n\nDomain: CS and Math, Life Sciences
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