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dc.contributor.authorDickov, Branimir
dc.contributor.authorPericas, Miquel
dc.contributor.authorCarpenter, Paul
dc.contributor.authorNavarro, Nacho
dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2015-02-04T13:52:33Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationDickov, B. [et al.]. Analyzing performance improvements and energy savings in Infiniband architecture using network compression. A: International Symposium on Computer Architecture and High Performance Computing. "IEEE 26th International Symposium on Computer Architecture and High Performance Computing: 22–24 October 2014: Paris, France: proceedings". París: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 73-80.
dc.identifier.isbn978-1-4799-6904-3
dc.identifier.urihttp://hdl.handle.net/2117/26210
dc.description.abstractOne of the greatest challenges in HPC is total system power and energy consumption. Whereas HPC interconnects have traditionally been designed with a focus on bandwidth and latency, there is an increasing interest in minimising the interconnect's energy consumption. This paper complements ongoing efforts related to power reduction and energy proportionality, by investigating the potential benefits from MPI data compression. We apply lossy compression to two common communication patterns in HPC kernels, in conjunction with recently introduced InfiniBand (IB) power saving modes. The results for the Alya CG kernel and Gromacs PME solver kernels show improvements in both performance and energy. While performance improvements are strongly influenced and changable depending on the type of communication pattern, energy savings in IB links are more consistent and proportional to achievable compression rates. We estimated an upper bound for link energy savings of up to 71% for the ALYA CG kernel, while for the Gromacs PME solver we obtained savings up to 63% compared to nominal energy when compression rate of 50% is used. We conclude that lossy compression is not always useful for performance improvements, but that it does reduce average IB link energy consumption.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subject.lcshHigh performance computing
dc.subject.lcshSupercomputers
dc.subject.otherData Compression
dc.subject.otherMPI Performance
dc.subject.otherNetwork Energy Savings
dc.subject.otherParallel Applications
dc.subject.otherSupercomputing
dc.titleAnalyzing performance improvements and energy savings in Infiniband architecture using network compression
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.subject.lemacSupercomputadors
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1109/SBAC-PAD.2014.27
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15404168
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorDickov, B.; Pericas, M.; Carpenter, P.; Navarro, N.; Ayguade, E.
upcommons.citation.contributorInternational Symposium on Computer Architecture and High Performance Computing
upcommons.citation.pubplaceParís
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE 26th International Symposium on Computer Architecture and High Performance Computing: 22–24 October 2014: Paris, France: proceedings
upcommons.citation.startingPage73
upcommons.citation.endingPage80


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