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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:Brian Austin, Chris Daley, Douglas Doerfler, Jack Deslippe, Br
 andon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, and Nicholas Wri
 ght (Lawrence Berkeley National Laboratory)\n\nWhen acquiring a supercompu
 ter, it is desirable to specify its performance using a single number. For
  many procurements, this is usually stated as a performance increase over 
 a current generation platform, for example machine A provides 10 times gre
 ater performance than machine B. The determination of such a single number
  is not necessarily a simple process; there is no universal agreement on h
 ow this calculation is performed, and each facility usually uses their own
  method. In the future, the landscape will be further complicated because 
 systems will contain a heterogeneous mix of node types, and, by design, ev
 ery application will not run on every node type. For example, at the Natio
 nal Energy Research Scientific Computing Center (NERSC) the Cori supercomp
 uter contains two node types, nodes based on dual-socket Intel Xeon (Haswe
 ll) processors and nodes based on Intel Xeon Phi (Knights Landing) process
 ors. However, NERSC evaluated these two partitions separately, without uti
 lizing a single, combined performance metric. NERSC will be deploying its 
 next-generation machine, NERSC-9, in the year 2020 and anticipates that it
  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.\n\n
 Tag: Benchmarks, Parallel Programming Languages, Libraries, and Models, Pe
 rformance, Simulation\n\nRegistration Category: Workshop Reg Pass\n\nSessi
 on Chair: Steven A. Wright (University of York, England)\n\n
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