Platform independent software analysis for near memory computing

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3 Citaten (Scopus)
50 Downloads (Pure)

Samenvatting

Near-memory Computing (NMC) promises improved performance for the applications that can exploit the features of emerging memory technologies such as 3D-stacked memory. However, it is not trivial to find such applications and specialized tools are needed to identify them. In this paper, we present PISA-NMC, which extends a state-of-the-art hardware agnostic profiling tool with metrics concerning memory and parallelism, which are relevant for NMC. The metrics include memory entropy, spatial locality, data-level, and basic-block-level parallelism. By profiling a set of representative applications and correlating the metrics with the application's performance on a simulated NMC system, we verify the importance of those metrics. Finally, we demonstrate which metrics are useful in identifying applications suitable for NMC architectures.
Originele taal-2Engels
TitelProceedings of the 22nd Euromicro Conference on Digital System Design
RedacteurenNikos Konofaos, Paris Kitsos
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's606-609
Aantal pagina's4
ISBN van elektronische versie978-1-7281-2862-7
DOI's
StatusGepubliceerd - 24 jun 2019
EvenementEuromicro Conference on Digital System Design - Kallithea, Chalkidiki, Griekenland
Duur: 28 aug 201930 aug 2019
Congresnummer: 22
http://dsd-seaa2019.csd.auth.gr/

Congres

CongresEuromicro Conference on Digital System Design
Verkorte titelDSD 2019
Land/RegioGriekenland
StadChalkidiki
Periode28/08/1930/08/19
Internet adres

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