Platform independent software analysis for near memory computing

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

doi:10.1109/DSD.2019.00093

Platform independent software analysis for near memory computing

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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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-2	Engels
Titel	Proceedings of the 22nd Euromicro Conference on Digital System Design
Redacteuren	Nikos Konofaos, Paris Kitsos
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	606-609
Aantal pagina's	4
ISBN van elektronische versie	978-1-7281-2862-7
DOI's	https://doi.org/10.1109/DSD.2019.00093
Status	Gepubliceerd - 24 jun. 2019
Evenement	Euromicro Conference on Digital System Design - Kallithea, Kallithea, Chalkidiki, Griekenland Duur: 28 aug. 2019 → 30 aug. 2019 Congresnummer: 22 http://dsd-seaa2019.csd.auth.gr/

Congres

Congres	Euromicro Conference on Digital System Design
Verkorte titel	DSD 2019
Land/Regio	Griekenland
Stad	Kallithea, Chalkidiki
Periode	28/08/19 → 30/08/19
Internet adres	http://dsd-seaa2019.csd.auth.gr/

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10.1109/DSD.2019.00093

arXiv 1906.10037v1Finale auteursversie , 475 KB

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NeMeCo
Corporaal, H., van Dalfsen, J., Singh, G., Chelini, L., Corda, S., Stuijk, S., Sanchez, V., Jordans, R., van der Hagen, D. & de Mol-Regels, M.
1/04/16 → 30/09/20
Project: Onderzoek direct

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@inproceedings{39593e33d64341609f795328ce3ac87f,

title = "Platform independent software analysis for near memory computing",

abstract = "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. ",

keywords = "cs.PF, cs.ET, Memory Entropy, LLVM, NMC, Spatial Locality, Data-Level Parallelism",

author = "Stefano Corda and Gagandeep Singh and Awan, {Ahsan Javed} and Roel Jordans and Henk Corporaal",

year = "2019",

month = jun,

day = "24",

doi = "10.1109/DSD.2019.00093",

language = "English",

pages = "606--609",

editor = "Nikos Konofaos and Paris Kitsos",

booktitle = "Proceedings of the 22nd Euromicro Conference on Digital System Design",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "22nd Euromicro Conference on Digital System Design, DSD 2019, DSD 2019 ; Conference date: 28-08-2019 Through 30-08-2019",

url = "http://dsd-seaa2019.csd.auth.gr/",

}

Corda, S, Singh, G, Awan, AJ, Jordans, R & Corporaal, H 2019, Platform independent software analysis for near memory computing. in N Konofaos & P Kitsos (redactie), Proceedings of the 22nd Euromicro Conference on Digital System Design., 8875040, Institute of Electrical and Electronics Engineers, Piscataway, blz. 606-609, Euromicro Conference on Digital System Design, Kallithea, Chalkidiki, Griekenland, 28/08/19. https://doi.org/10.1109/DSD.2019.00093

Platform independent software analysis for near memory computing. / Corda, Stefano; Singh, Gagandeep; Awan, Ahsan Javed et al.
Proceedings of the 22nd Euromicro Conference on Digital System Design. redactie / Nikos Konofaos; Paris Kitsos. Piscataway: Institute of Electrical and Electronics Engineers, 2019. blz. 606-609 8875040.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T1 - Platform independent software analysis for near memory computing

AU - Corda, Stefano

AU - Singh, Gagandeep

AU - Awan, Ahsan Javed

AU - Jordans, Roel

AU - Corporaal, Henk

N1 - Conference code: 22

PY - 2019/6/24

Y1 - 2019/6/24

N2 - 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.

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KW - NMC

KW - Spatial Locality

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Platform independent software analysis for near memory computing

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