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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

3 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
Editors	Sander Stuijk
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	23-26
Number of pages	4
ISBN (Electronic)	978-1-4503-6762-2
DOIs	https://doi.org/10.1145/3323439.3323988
Publication status	Published - 27 May 2019
Event	22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019) - St. Goar, Germany Duration: 27 May 2019 → 28 May 2019 https://scopesconf.org/scopes-19/

Conference

Conference	22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019)
Abbreviated title	SCOPES2019
Country	Germany
City	St. Goar
Period	27/05/19 → 28/05/19
Internet address	https://scopesconf.org/scopes-19/

Keywords

Application characterization
LLVM IR
Memory
Near-Memory Computing
Parallelism

Access to Document

10.1145/3323439.3323988

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Memory and parallelism analysis using a platform-independent approach'. Together they form a unique fingerprint.

1 Finished

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

Cite this

@inproceedings{2e62c3f49f434387852150b201d3bbd4,

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 (ed.), Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019. Association for Computing Machinery, Inc, New York, pp. 23-26, 22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019), St. Goar, Germany, 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; Jordans, Roel ; Corporaal, Henk.

Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019. ed. / Sander Stuijk. New York : Association for Computing Machinery, Inc, 2019. p. 23-26.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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

AU - Corda, Stefano

AU - Singh, Gagandeep

AU - Awan, Ahsan Javed

AU - Jordans, Roel

AU - Corporaal, Henk

PY - 2019/5/27

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.

AB - 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.

KW - Application characterization

KW - LLVM IR

KW - Memory

KW - Near-Memory Computing

KW - Parallelism

UR - http://www.scopus.com/inward/record.url?scp=85066027586&partnerID=8YFLogxK

U2 - 10.1145/3323439.3323988

DO - 10.1145/3323439.3323988

M3 - Conference contribution

AN - SCOPUS:85066027586

SP - 23

EP - 26

BT - Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019

A2 - Stuijk, Sander

PB - Association for Computing Machinery, Inc

CY - New York

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

Y2 - 27 May 2019 through 28 May 2019

ER -

Memory and parallelism analysis using a platform-independent approach

Abstract

Conference

Keywords

Access to Document

NeMeCo

Cite this