Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX-Reference-Cited by-同舟云学术

Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Breiter Sergej¹^ORCID,Trotter James D.²^ORCID,Fürlinger Karl¹^ORCID

Affiliation:

1. Ludwig-Maximilians-Universität München, Germany

2. Simula Research Laboratory, Norway

Funder

Bundesministerium für Bildung und Forschung

European High-Performance Computing Joint Undertaking

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624198

Reference26 articles.

1. Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX

2. Calculating stack distances efficiently

3. Cluster of emerging technology: evaluation of a production HPC system based on A64FX

4. Kristof Beyls and Erik D’Hollander . 2001 . Reuse Distance as a Metric for Cache Behavior . In Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems. ISCA , Winona, MN, USA, 617–622. Kristof Beyls and Erik D’Hollander. 2001. Reuse Distance as a Metric for Cache Behavior. In Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems. ISCA, Winona, MN, USA, 617–622.

5. Sergej Breiter Josef Weidendorfer Minh Thanh Chung and Karl Fürlinger. 2023. A Profiling-Based Approach to Cache Partitioning of Program Data. In Parallel and Distributed Computing Applications and Technologies Hiroyuki Takizawa Hong Shen Toshihiro Hanawa Jong Hyuk Park Hui Tian and Ryusuke Egawa (Eds.). Springer Nature Switzerland Cham 453–463. Sergej Breiter Josef Weidendorfer Minh Thanh Chung and Karl Fürlinger. 2023. A Profiling-Based Approach to Cache Partitioning of Program Data. In Parallel and Distributed Computing Applications and Technologies Hiroyuki Takizawa Hong Shen Toshihiro Hanawa Jong Hyuk Park Hui Tian and Ryusuke Egawa (Eds.). Springer Nature Switzerland Cham 453–463.