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LOCATION:D171
DTSTART;TZID=America/Chicago:20181113T133000
DTEND;TZID=America/Chicago:20181113T150000
UID:submissions.supercomputing.org_SC18_sess268@linklings.com
SUMMARY:HPC in the Cloud
DESCRIPTION:Exhibitor Forum\n\n\nExtending On-Premise HPC to the Cloud\n\n
 Broner\n\nFor many years we have used HPC on premises. A large system is s
 hared by multiple users who take advantage of a powerful system. But what 
 happens when HPC in the cloud becomes feasible? What applications can move
  to the cloud? What advantages and disadvantages does cloud offer? Can the
  flexibility o...\n\n---------------------\nEnabling HPC and Deep Learning
  Workloads at Extreme Scale in the Cloud\n\nBryce\n\nIndependent research 
 (Reuther et al., J. Parallel Distrib. Comput., 111, 2018, 76–92) underscor
 es the importance of efficient workload management: “For both supercompute
 rs and big data systems, the efficiency of the job scheduler represents a 
 fundamental limit on the efficiency of the system.” Howev...\n\n----------
 -----------\nWhat Would You Do with a Million Cores of Compute Capacity?\n
 \nColle\n\nHigh Performance Computing  has always been about solving the m
 ost complex problems, but for far too long HPC applications and workloads 
 have been constrained by infrastructure capacity to allow for an unfettere
 d imagination of problems could be solved if infrastructure capacity were 
 virtually unlim...\n
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