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DTSTAMP:20181221T160728Z
LOCATION:D165
DTSTART;TZID=America/Chicago:20181112T140000
DTEND;TZID=America/Chicago:20181112T143000
UID:submissions.supercomputing.org_SC18_sess161_ws_pmbsf117@linklings.com
SUMMARY:A Metric for Evaluating Supercomputer Performance in the Era of Ex
 treme Heterogeneity
DESCRIPTION:Workshop\nBenchmarks, Parallel Programming Languages, Librarie
 s, and Models, Performance, Simulation, Workshop Reg Pass\n\nA Metric for 
 Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity\n
 \nAustin, Daley, Doerfler, Deslippe, Cook...\n\nWhen acquiring a supercomp
 uter, it is desirable to specify its performance using a single number. Fo
 r many procurements, this is usually stated as a performance increase over
  a current generation platform, for example machine A provides 10 times gr
 eater performance than machine B. The determination of such a single numbe
 r is not necessarily a simple process; there is no universal agreement on 
 how this calculation is performed, and each facility usually uses their ow
 n method. In the future, the landscape will be further complicated because
  systems will contain a heterogeneous mix of node types, and, by design, e
 very application will not run on every node type. For example, at the Nati
 onal Energy Research Scientific Computing Center (NERSC) the Cori supercom
 puter contains two node types, nodes based on dual-socket Intel Xeon (Hasw
 ell) processors and nodes based on Intel Xeon Phi (Knights Landing) proces
 sors. However, NERSC evaluated these two partitions separately, without ut
 ilizing a single, combined performance metric. NERSC will be deploying its
  next-generation machine, NERSC-9, in the year 2020 and anticipates that i
 t too will be a heterogeneous mix of node types. The purpose of this paper
  is to describe a single performance metric for a heterogeneous system.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pmbsf117&sess=sess
 161
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