Platform independent software analysis for near memory computing

Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

6 Citaten (Scopus)
75 Downloads (Pure)


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
Aantal pagina's4
ISBN van elektronische versie978-1-7281-2862-7
StatusGepubliceerd - 24 jun. 2019
EvenementEuromicro Conference on Digital System Design - Kallithea, Kallithea, Chalkidiki, Griekenland
Duur: 28 aug. 201930 aug. 2019
Congresnummer: 22


CongresEuromicro Conference on Digital System Design
Verkorte titelDSD 2019
StadKallithea, Chalkidiki
Internet adres


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