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dc.contributor.author
De Sensi, Daniele
dc.contributor.author
Di Girolamo, Salvatore
dc.contributor.author
Hoefler, Torsten
dc.date.accessioned
2020-01-28T14:49:48Z
dc.date.available
2020-01-13T13:21:37Z
dc.date.available
2020-01-28T14:49:48Z
dc.date.issued
2019-11
dc.identifier.isbn
978-1-4503-6229-0
en_US
dc.identifier.other
10.1145/3295500.3356196
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/389759
dc.description.abstract
System noise can negatively impact the performance of HPC systems, and the interconnection network is one of the main factors contributing to this problem. To mitigate this effect, adaptive routing sends packets on non-minimal paths if they are less congested. However, while this may mitigate interference caused by congestion, it also generates more traffic since packets traverse additional hops, causing in turn congestion on other applications and on the application itself. In this paper, we first describe how to estimate network noise. By following these guidelines, we show how noise can be reduced by using routing algorithms which select minimal paths with a higher probability. We exploit this knowledge to design an algorithm which changes the probability of selecting minimal paths according to the application characteristics. We validate our solution on microbenchmarks and real-world applications on two systems relying on a Dragonfly interconnection network, showing noise reduction and performance improvement.
en_US
dc.language.iso
en
en_US
dc.publisher
ACM
en_US
dc.subject
network noise
en_US
dc.subject
dragonfly
en_US
dc.subject
routing
en_US
dc.title
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
en_US
ethz.pages.start
16
en_US
ethz.size
32 p.
en_US
ethz.event
International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
en_US
ethz.event.location
Denver, CO, USA
en_US
ethz.event.date
November 17-19, 2019
en_US
ethz.grant
DAPP: Data-Centric Parallel Programming
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
ethz.grant.agreementno
678880
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2020-01-13T13:21:45Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-01-28T14:49:58Z
ethz.rosetta.lastUpdated
2021-02-15T07:43:04Z
ethz.rosetta.versionExported
true
ethz.COinS
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