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DTSTART;TZID=America/Chicago:20181113T133000
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UID:submissions.supercomputing.org_SC18_sess268@linklings.com
SUMMARY:HPC in the Cloud
DESCRIPTION:Extending On-Premise HPC to the Cloud\n\nFor many years we hav
 e used HPC on premises. A large system is shared by multiple users who tak
 e advantage of a powerful system. But what happens when HPC in the cloud b
 ecomes feasible? What applications can move to the cloud? What advantages 
 and disadvantages does cloud offer? Can the flexibility o...\n\n\nGabriel 
 Broner (Rescale)\n---------------------\nWhat Would You Do with a Million 
 Cores of Compute Capacity?\n\nHigh Performance Computing  has always been 
 about solving the most complex problems, but for far too long HPC applicat
 ions and workloads have been constrained by infrastructure capacity to all
 ow for an unfettered imagination of problems could be solved if infrastruc
 ture capacity were virtually unlim...\n\n\nIan Colle (Amazon Web Services)
 \n---------------------\nEnabling HPC and Deep Learning Workloads at Extre
 me Scale in the Cloud\n\nIndependent research (Reuther et al., J. Parallel
  Distrib. Comput., 111, 2018, 76–92) underscores the importance of efficie
 nt workload management: “For both supercomputers and big data systems, the
  efficiency of the job scheduler represents a fundamental limit on the eff
 iciency of the system.” Howev...\n\n\nBill Bryce (Univa Corporation)\n\nTa
 g: Clouds and Distributed Computing, Deep Learning\n\nSession Chair: Randy
  Herban (Sylabs Inc)
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