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Increasing Throughput of Multiprogram HPC Workloads : Evaluating a SMT Co-Scheduling Approach

Lundmark, Elias (author)
Högskolan Väst,Institutionen för ingenjörsvetenskap
Persson, Chris (author)
Högskolan Väst,Institutionen för ingenjörsvetenskap
de Blanche, Andreas, 1975- (author)
Högskolan Väst,Avdelningen för Matematik, Data- och Lantmäteriteknik
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Lundqvist, Thomas, 1967- (author)
Högskolan Väst,Avdelningen för Matematik, Data- och Lantmäteriteknik
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 (creator_code:org_t)
2017
2017
English.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Simultaneous Multithreading (SMT) is a technique that allows formore efficient processor utilization by scheduling multiple threadson a single physical core. Previous research have shown an averagethroughput increase of around 20% with an SMT level of two, e.g.two threads per core. However, a bad combination of threads canactually result in decreased performance. To be conservative, manyHPC-systems have SMT disabled, thus, limiting the number ofscheduling slots in the system to one per core. However, for SMT tonot hurt performance, we need to determine which threads shouldshare a core. In this poster, we use 30 random SPEC CPU job mixedon a twelve-core Broadwell based node, to study the impact ofenabling SMT using two different co-scheduling strategies. Theresults show that SMT can increase performance especially whenusing no-same-program co-scheduling.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

co-scheduling
SMT
high performance computing
scheduling
hyperthreading
terrible twins
Datateknik
Computer engineering

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