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DTSTART:19700308T020000
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DTSTAMP:20181221T160909Z
LOCATION:C141/143/149
DTSTART;TZID=America/Chicago:20181113T133000
DTEND;TZID=America/Chicago:20181113T150000
UID:submissions.supercomputing.org_SC18_sess209@linklings.com
SUMMARY:Performance and Energy Analysis
DESCRIPTION:Paper\nOpenMP, Performance, Power, Tools, Tech Program Reg Pas
 s\n\nHPL and DGEMM Performance Variability on the Xeon Platinum 8160 Proce
 ssor\n\nMcCalpin\n\nDuring initial testing of a large cluster equipped wit
 h Xeon Platinum 8160 processors, we observed infrequent, but significant, 
 performance drops in HPL benchmark results. The variability was seen in bo
 th single node and multi-node runs, with approximately 0.4% of results mor
 e than 10% slower than t...\n\n---------------------\nEnergy Efficiency Mo
 deling of Parallel Applications\n\nEndrei, Jin, Dinh, Abramson, Poxon...\n
 \nEnergy efficiency has become increasingly important in high performance 
 computing (HPC), as power constraints and costs escalate. Workload and sys
 tem characteristics form a complex optimization search space in which opti
 mal settings for energy efficiency and performance often diverge. Thus, we
  must ...\n\n---------------------\nA Parallelism Profiler with What-If An
 alyses for OpenMP Programs\n\nBoushehrinejadmoradi, Yoga, Nagarakatte\n\nT
 his paper proposes OMP-WHIP, a profiler that measures inherent parallelism
  in the program for a given input and provides what-if analyses to estimat
 e improvements in parallelism. We propose a novel OpenMP series parallel g
 raph representation (OSPG) that precisely captures series-parallel relatio
 ns ...\n
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