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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_post108@linklings.com
SUMMARY:Kernel-Based and Total Performance Analysis of CGYRO on 4 Leadersh
 ip Systems
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nKernel-Bas
 ed and Total Performance Analysis of CGYRO on 4 Leadership Systems\n\nSfil
 igoi, Candy, Belli\n\nWe present the results of an exhaustive performance 
 analysis of the CGYRO code on 4 leadership systems spanning 5 different co
 nfigurations (2 KNL-based, 1 Skylake-based, and 2 hybrid CPU-GPU architect
 ures). CGYRO is an Eulerian gyrokinetic solver designed and optimized for 
 collisional, electromagnetic, multiscale fusion plasma simulation. It is b
 ased on the well-known GYRO code, but redesigned from the ground up to ope
 rate efficiently on multicore and GPU-accelerated systems. The gyrokinetic
  equations specify a 5-dimensional distribution function for each species,
  with species coupled through both the Maxwell equations and collision ope
 rator. For the cross-machine performance analysis, we report and compare t
 imings for 4 computational and 4 communication kernels. This kernel-based 
 breakdown illustrates the strengths and weaknesses of the floating-point a
 nd communication architectures of the respective systems. An overview of t
 he physical equations solved, the scalable numerical methods used, and dat
 a communication patterns required by each kernel are also given.
URL:https://sc18.supercomputing.org/presentation/?id=post108&sess=sess323
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