Collective affinity aware computation mapping

Mahmut T. Kandemir; Jihyun Ryoo; Hui Zhao; Myoungsoo Jung; Mustafa Karakoy

doi:10.1145/3410463.3414661

Collective affinity aware computation mapping

Mahmut T. Kandemir, Jihyun Ryoo, Hui Zhao, Myoungsoo Jung, Mustafa Karakoy

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This work defines the concept of collective affinity. It is claimedthat collective affinity has more potential than single core-centricaffinity, for data locality optimization in manycores. The reason isthat collective affinity captures the potential benefits of transferringcomputations originally assigned to one core to other cores. Next,building upon the collective affinity concept and a cache contentestimation strategy, it presents a computation-to-core mappingstrategy, specifically tuned for exploiting near data computing byreducing distance-to-data.

Original language	English
Title of host publication	PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	343-344
Number of pages	2
ISBN (Electronic)	9781450380751
DOIs	https://doi.org/10.1145/3410463.3414661
Publication status	Published - 2020 Sept 30
Event	2020 ACM International Conference on Parallel Architectures and Compilation Techniques, PACT 2020 - Virtual, Online, United States Duration: 2020 Oct 3 → 2020 Oct 7

Publication series

Name	Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT
ISSN (Print)	1089-795X

Conference

Conference	2020 ACM International Conference on Parallel Architectures and Compilation Techniques, PACT 2020
Country/Territory	United States
City	Virtual, Online
Period	20/10/3 → 20/10/7

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation under grants 1763681, 1629129, 1931531, and 1629915.

Publisher Copyright:
© 2020 Association for Computing Machinery.

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Hardware and Architecture

Access to Document

10.1145/3410463.3414661

Cite this

Kandemir, M. T., Ryoo, J., Zhao, H., Jung, M., & Karakoy, M. (2020). Collective affinity aware computation mapping. In PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques (pp. 343-344). (Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3410463.3414661

Kandemir, Mahmut T. ; Ryoo, Jihyun ; Zhao, Hui et al. / Collective affinity aware computation mapping. PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 343-344 (Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT).

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abstract = "This work defines the concept of collective affinity. It is claimedthat collective affinity has more potential than single core-centricaffinity, for data locality optimization in manycores. The reason isthat collective affinity captures the potential benefits of transferringcomputations originally assigned to one core to other cores. Next,building upon the collective affinity concept and a cache contentestimation strategy, it presents a computation-to-core mappingstrategy, specifically tuned for exploiting near data computing byreducing distance-to-data.",

author = "Kandemir, {Mahmut T.} and Jihyun Ryoo and Hui Zhao and Myoungsoo Jung and Mustafa Karakoy",

note = "Funding Information: This material is based upon work supported by the National Science Foundation under grants 1763681, 1629129, 1931531, and 1629915. Publisher Copyright: {\textcopyright} 2020 Association for Computing Machinery.; 2020 ACM International Conference on Parallel Architectures and Compilation Techniques, PACT 2020 ; Conference date: 03-10-2020 Through 07-10-2020",

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doi = "10.1145/3410463.3414661",

language = "English",

series = "Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT",

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Kandemir, MT, Ryoo, J, Zhao, H, Jung, M & Karakoy, M 2020, Collective affinity aware computation mapping. in PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, Institute of Electrical and Electronics Engineers Inc., pp. 343-344, 2020 ACM International Conference on Parallel Architectures and Compilation Techniques, PACT 2020, Virtual, Online, United States, 20/10/3. https://doi.org/10.1145/3410463.3414661

Collective affinity aware computation mapping. / Kandemir, Mahmut T.; Ryoo, Jihyun; Zhao, Hui et al.
PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. Institute of Electrical and Electronics Engineers Inc., 2020. p. 343-344 (Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Kandemir, Mahmut T.

AU - Ryoo, Jihyun

AU - Zhao, Hui

AU - Jung, Myoungsoo

AU - Karakoy, Mustafa

N1 - Funding Information: This material is based upon work supported by the National Science Foundation under grants 1763681, 1629129, 1931531, and 1629915. Publisher Copyright: © 2020 Association for Computing Machinery.

PY - 2020/9/30

Y1 - 2020/9/30

N2 - This work defines the concept of collective affinity. It is claimedthat collective affinity has more potential than single core-centricaffinity, for data locality optimization in manycores. The reason isthat collective affinity captures the potential benefits of transferringcomputations originally assigned to one core to other cores. Next,building upon the collective affinity concept and a cache contentestimation strategy, it presents a computation-to-core mappingstrategy, specifically tuned for exploiting near data computing byreducing distance-to-data.

AB - This work defines the concept of collective affinity. It is claimedthat collective affinity has more potential than single core-centricaffinity, for data locality optimization in manycores. The reason isthat collective affinity captures the potential benefits of transferringcomputations originally assigned to one core to other cores. Next,building upon the collective affinity concept and a cache contentestimation strategy, it presents a computation-to-core mappingstrategy, specifically tuned for exploiting near data computing byreducing distance-to-data.

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EP - 344

BT - PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques

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Kandemir MT, Ryoo J, Zhao H, Jung M, Karakoy M. Collective affinity aware computation mapping. In PACT 2020 - Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. Institute of Electrical and Electronics Engineers Inc. 2020. p. 343-344. (Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT). doi: 10.1145/3410463.3414661

Collective affinity aware computation mapping

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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