Analytic performance model for parallel overlapping memory‐bound kernels-Reference-Cited by-同舟云学术

Analytic performance model for parallel overlapping memory‐bound kernels

Published:2022-01-13 Issue:10 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Afzal Ayesha¹²^ORCID,Hager Georg¹^ORCID,Wellein Gerhard¹²

Affiliation:

1. Erlangen National High Performance Computing Center Friedrich‐Alexander‐Universität Erlangen‐Nürnberg Erlangen Germany

2. Department of Computer Science Friedrich‐Alexander‐Universität Erlangen‐Nürnberg Erlangen Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6816

Reference30 articles.

1. Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs

2. ChouY FahsB AbrahamS.Microarchitecture optimizations for exploiting memory‐level parallelism. Proceedings. 31st Annual International Symposium on Computer Architecture; 2004:76‐87; IEEE.

3. Reevaluating Data Stall Time with the Consideration of Data Access Concurrency

4. NoonburgDB ShenJP.Theoretical modeling of superscalar processor performance. Proceedings of the 27th Annual International Symposium on Microarchitecture; 1994:52‐62; IEEE/ACM.

5. Roofline

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