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DTSTART:19700308T020000
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DTSTAMP:20260522T150116Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20181113T153000
DTEND;TZID=America/Chicago:20181113T160000
UID:submissions.supercomputing.org_SC18_sess218_pap335@linklings.com
SUMMARY:Many-Core Graph Workload Analysis
DESCRIPTION:Stijn Eyerman, Wim Heirman, Kristof Du Bois, Joshua B. Fryman,
  and Ibrahim Hur (Intel Corporation)\n\nGraph applications have specific c
 haracteristics that are not common in other application domains. In this p
 aper, we analyze multiple graph applications on current multi- and many-co
 re processors and provide conclusions and recommendations for future desig
 ns. We provide new insights on executing graph applications on many-core p
 rocessors.\n\nOur main novel observations are (i) some memory streams do s
 how locality, while others show no locality, (ii) thread imbalance becomes
  a major problem with many threads, and (iii) many threads are required to
  saturate high-bandwidth memories. We recommend a selective memory access 
 policy, where accesses with locality are cached and prefetched, while acce
 sses without locality can remain uncached to save cache capacity. Addition
 ally, more threads are needed, but they are not used efficiently due to th
 read imbalance. Our recommendation is to revise the graph analysis algorit
 hms to provide more parallelism, and to provide a few high-performance cor
 es that speedup sections with low parallelism.\n\nTag: Data Analytics, Per
 formance, Programming Systems, Storage, Tools, Visualization\n\nRegistrati
 on Category: Tech Program Reg Pass\n\nSession Chair: John Linford (NVIDIA 
 Corporation)\n\n
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