Cache Associativity Optimization
Cache Associativity Optimization is a methodological approach in computer architecture that systematically determines and configures the optimal degree of set associativity in cache memories to minimize access latency and power consumption while maintaining cache effectiveness, distinguishing itself from general cache design techniques by specifically targeting the trade-off between associativity level and energy efficiency in low-power contexts.
32
Publications
1.4K
Citations
83
Authors
34
Institutions
Publications per year
2017–2026
2
Parents
32
The ZCache: Decoupling Ways and Associativity
Daniel Sánchez, Christos Kozyrakis · 2010 · 200 citations
Moinuddin K. Qureshi, David Thompson, Yale N. Patt · ACM SIGARCH Computer Architecture News · 2005 · 180 citations
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Georgia Institute of Technology
Atlanta, United States
4 h-index
7 publications
190 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
4 publications
136 citations
University of California, Riverside
Riverside, United States
3 h-index
8 publications
502 citations
University of California, Irvine
Irvine, United States
3 h-index
5 publications
130 citations
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
837 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
3 publications
108 citations

University of Toronto
Toronto, Canada
2 h-index
5 publications
284 citations

Tamkang University
Taipei, Taiwan
2 h-index
1 publications
12 citations
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2 publications · 67 citations
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Conference · 2 publications · 78 citations
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TECS · 1 publications · 87 citations
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1 publications · 28 citations
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Conference · 1 publications · 23 citations
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