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DTSTAMP:20181221T160905Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post259@linklings.com
SUMMARY:Which Architecture Is Better Suited for Matrix-Free Finite-Element
  Algorithms: Intel Skylake or Nvidia Volta?
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nWhich Arch
 itecture Is Better Suited for Matrix-Free Finite-Element Algorithms: Intel
  Skylake or Nvidia Volta?\n\nKronbichler, Allalen, Ohlerich, Wall\n\nThis 
 work presents a performance comparison of highly tuned matrix-free finite 
 element kernels from the finite element library on different contemporary 
 computer architectures, NVIDIA V100 and P100 GPUs, an Intel Knights Landin
 g Xeon Phi, and two multi-core Intel CPUs (Broadwell and Skylake).  The al
 gorithms are based on fast integration on hexahedra using sum factorizatio
 n techniques.  For small problem sizes, when all data fits into CPU caches
 , Skylake is very competitive with Volta. For larger sizes, however, the G
 PU holds an advantage of approximately a factor of three over Skylake, bec
 ause all architectures operate in the memory-bandwidth limited regime. A d
 etailed performance analysis contrasts the throughput-oriented character o
 f GPUs versus the more latency-optimized CPUs for the scenario of high-ord
 er finite element computations.
URL:https://sc18.supercomputing.org/presentation/?id=post259&sess=sess323
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