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Increasing Throughput of Multiprogram HPC Workloads: Evaluating a SMT Co-Scheduling Approach
Högskolan Väst, Institutionen för ingenjörsvetenskap.
Högskolan Väst, Institutionen för ingenjörsvetenskap.
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för Matematik, Data- och Lantmäteriteknik.ORCID-id: 0000-0001-7232-0079
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för Matematik, Data- och Lantmäteriteknik.ORCID-id: 0000-0003-0589-8086
2017 (engelsk)Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2017. artikkel-id P44
Emneord [en]
co-scheduling, SMT, high performance computing, scheduling, hyperthreading, terrible twins
HSV kategori
Forskningsprogram
TEKNIK, Datateknik
Identifikatorer
URN: urn:nbn:se:hv:diva-11937OAI: oai:DiVA.org:hv-11937DiVA, id: diva2:1167751
Konferanse
SC 2017: The International Conference for High Performance Computing, Storage and Analysis (Supercomputing) November 12-17, 2017
Tilgjengelig fra: 2017-12-19 Laget: 2017-12-19 Sist oppdatert: 2019-01-04bibliografisk kontrollert

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