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DTSTAMP:20260522T150153Z
LOCATION:A2 Ballroom
DTSTART;TZID=America/Chicago:20181115T103000
DTEND;TZID=America/Chicago:20181115T120000
UID:submissions.supercomputing.org_SC18_sess467@linklings.com
SUMMARY:Gordon Bell Prize Finalist Session 2
DESCRIPTION:Simulating the Weak Death of the Neutron in a Femtoscale Unive
 rse with Near-Exascale Computing\n\nThe fundamental particle theory called
  Quantum Chromodynamics (QCD) dictates everything about protons and neutro
 ns, from their intrinsic properties to interactions that bind them into at
 omic nuclei.  Quantities that cannot be fully resolved through experiment,
  such as the neutron lifetime (whose pre...\n\n\nEvan Berkowitz (Forschung
 szentrum Juelich); M.A. Clark (Nvidia Corporation); Arjun Gambhir (Lawrenc
 e Livermore National Laboratory, Lawrence Berkeley National Laboratory); K
 en McElvain (University of California, Berkeley; Lawrence Berkeley Nationa
 l Laboratory); Amy Nicholson (University of North Carolina); Enrico Rinald
 i (RIKEN BNL Research Center, Lawrence Berkeley National Laboratory); Pavl
 os Vranas (Lawrence Livermore National Laboratory, Lawrence Berkeley Natio
 nal Laboratory); André Walker-Loud (Lawrence Berkeley National Laboratory,
  Lawrence Livermore National Laboratory); Chia Cheng Chang (Lawrence Berke
 ley National Laboratory, RIKEN); Bálint Joó (Thomas Jefferson National Acc
 elerator Facility); Thorsten Kurth (Lawrence Berkeley National Laboratory)
 ; and Kostas Orginos (College of William & Mary, Thomas Jefferson National
  Accelerator Facility)\n---------------------\nAttacking the Opioid Epidem
 ic: Determining the Epistatic and Pleiotropic Genetic Architectures for Ch
 ronic Pain and Opioid Addiction\n\nWe describe the CoMet application for l
 arge-scale epistatic Genome-Wide Association Studies (eGWAS) and pleiotrop
 y studies. High performance is attained by transforming the underlying vec
 tor comparison methods into highly performant generalized distributed dens
 e linear algebra operations. The 2-way ...\n\n\nWayne Joubert (Oak Ridge N
 ational Laboratory); Deborah Weighill (Oak Ridge National Laboratory, Univ
 ersity of Tennessee); David Kainer (Oak Ridge National Laboratory); Sharle
 e Climer (University of Missouri, St Louis); Amy Justice (Yale University,
  US Department of Veterans Affairs); Kjiersten Fagnan (Lawrence Berkeley N
 ational Laboratory, US Department of Energy Joint Genome Institute); and D
 aniel Jacobson (Oak Ridge National Laboratory)\n---------------------\nShe
 nTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds
 \n\nGraphs are an important abstraction used in many scientific fields. Wi
 th the magnitude of graph-structured data constantly increasing, effective
  data analytics requires efficient and scalable graph processing systems. 
 Although HPC systems have long been used for scientific computing, people 
 have onl...\n\n\nHeng Lin (Tsinghua University, Fma Technology); Xiaowei Z
 hu (Tsinghua University, Qatar Computing Research Institute); Bowen Yu (Ts
 inghua University); Xiongchao Tang (Tsinghua University, Qatar Computing R
 esearch Institute); Wei Xue and Wenguang Chen (Tsinghua University); Lufei
  Zhang (State Key Laboratory of Mathematical Engineering and Advanced Comp
 uting); Torsten Hoefler (ETH Zurich); Xiaosong Ma (Qatar Computing Researc
 h Institute); Xin Liu (National Research Centre of Parallel Computer Engin
 eering and Technology); Weimin Zheng (Tsinghua University); and Jingfang X
 u (Beijing Sogou Technology Development Company)
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