Memory and parallelism analysis using a platform-independent approach

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

doi:10.1145/3323439.3323988

Memory and parallelism analysis using a platform-independent approach

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

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

6 Citaten (Scopus)

4 Downloads (Pure)

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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-2	Engels
Titel	Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
Redacteuren	Sander Stuijk
Plaats van productie	New York
Uitgeverij	Association for Computing Machinery, Inc
Pagina's	23-26
Aantal pagina's	4
ISBN van elektronische versie	978-1-4503-6762-2
DOI's	https://doi.org/10.1145/3323439.3323988
Status	Gepubliceerd - 27 mei 2019
Evenement	22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019) - St. Goar, Duitsland Duur: 27 mei 2019 → 28 mei 2019 https://scopesconf.org/scopes-19/

Congres

Congres	22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019)
Verkorte titel	SCOPES2019
Land/Regio	Duitsland
Stad	St. Goar
Periode	27/05/19 → 28/05/19
Internet adres	https://scopesconf.org/scopes-19/

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10.1145/3323439.3323988

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

Citeer dit

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title = "Memory and parallelism analysis using a platform-independent approach",

abstract = "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.",

keywords = "Application characterization, LLVM IR, Memory, Near-Memory Computing, Parallelism",

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

year = "2019",

month = may,

day = "27",

doi = "10.1145/3323439.3323988",

language = "English",

pages = "23--26",

editor = "Sander Stuijk",

booktitle = "Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019), SCOPES2019 ; Conference date: 27-05-2019 Through 28-05-2019",

url = "https://scopesconf.org/scopes-19/",

}

Corda, S, Singh, G, Awan, AJ, Jordans, R & Corporaal, H 2019, Memory and parallelism analysis using a platform-independent approach. in S Stuijk (uitgave), Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019. Association for Computing Machinery, Inc, New York, blz. 23-26, 22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019), St. Goar, Duitsland, 27/05/19. https://doi.org/10.1145/3323439.3323988

Memory and parallelism analysis using a platform-independent approach. / Corda, Stefano; Singh, Gagandeep; Awan, Ahsan Javed et al.
Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019. uitgave / Sander Stuijk. New York: Association for Computing Machinery, Inc, 2019. blz. 23-26.

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

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T1 - Memory and parallelism analysis using a platform-independent approach

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Y1 - 2019/5/27

N2 - 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.

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KW - Parallelism

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A2 - Stuijk, Sander

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T2 - 22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019)

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Memory and parallelism analysis using a platform-independent approach

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