Memory and parallelism analysis using a platform-independent approach

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3 Citaten (Scopus)
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Samenvatting

Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task. In this ongoing work, we extend the state-of-the-art platform-independent software analysis tool with NMC related metrics such as memory entropy, spatial locality, data-level, and basic-block-level parallelism. These metrics help to identify the applications more suitable for NMC architectures.

Originele taal-2Engels
TitelProceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
RedacteurenSander Stuijk
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Pagina's23-26
Aantal pagina's4
ISBN van elektronische versie978-1-4503-6762-2
DOI's
StatusGepubliceerd - 27 mei 2019
Evenement22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019) - St. Goar, Duitsland
Duur: 27 mei 201928 mei 2019
https://scopesconf.org/scopes-19/

Congres

Congres22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019)
Verkorte titelSCOPES2019
LandDuitsland
StadSt. Goar
Periode27/05/1928/05/19
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