An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns
Author:
Affiliation:
1. Civil Aviation University of China 8 Tianjin University, China
2. Tianjin University, Tianjin, China
3. University of Southern California, Los Angeles, California, USA
4. University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
Abstract
Funder
Fundamental Research Funds for the Central Universities of Civil Aviation University of China
Scientific Research Foundation of Civil Aviation University of China
National Natural Science Foundation of China
U.S. National Science Foundation
Natural Science Foundation of Tianjin
Publisher
Association for Computing Machinery (ACM)
Subject
Hardware and Architecture,Information Systems,Software
Link
https://dl.acm.org/doi/pdf/10.1145/3322127
Reference38 articles.
1. Pannotia: Understanding irregular GPGPU graph applications
2. Adaptive Cache Management for Energy-Efficient GPU Computing
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