Parallel Loop Locality Analysis for Symbolic Thread Counts

Data movement limits program performance. This bottleneck is more significant in multi-thread programs but more difficult to analyze, especially for multiple thread counts.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3656019.3676948
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.49
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article

Parallel Loop Locality Analysis for Symbolic Thread Counts

Chen Ding, Shaotong Sun, Kaave Hosseini, Wesley Smith et al.
1 citations
Parallel Computing and Optimization Techniques
0.49
article

Parallel Loop Locality Analysis for Symbolic Thread Counts

Chen Ding, Shaotong Sun, Kaave Hosseini, Wesley Smith, Fangzhou Liu, Yifan Zhu
article en
1 citations

Abstract

Data movement limits program performance. This bottleneck is more significant in multi-thread programs but more difficult to analyze, especially for multiple thread counts.

University of Rochester (US)
Openalex Percentile: Top 37%
Parallel Computing and Optimization Techniques
0.49
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