Cache Miss Analysis
Cache Miss Analysis is a systematic method within performance bottleneck analysis that identifies and characterizes the causes and patterns of cache misses in memory hierarchy design to optimize data access efficiency and system performance.
418
Publications
24.1K
Citations
811
Authors
242
Institutions
Publications per year
2017–2026
29
418
Evaluating associativity in CPU caches
Alan Jay Smith · IEEE Transactions on Computers · 1989 · 607 citations · Full text
Daniel Vogel, Patrick Baudisch · 2007 · 471 citations
1–5 of 418
811
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1–5 of 811
242
University of Michigan
Ann Arbor, United States
21 h-index
50 publications
3.5K citations
University of California, Berkeley
Berkeley, United States
16 h-index
23 publications
2.4K citations
Stanford University
Stanford, United States
15 h-index
32 publications
2.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
32 publications
2.5K citations
University of Wisconsin–Madison
Madison, United States
13 h-index
26 publications
2.8K citations
Intel (United States)
Santa Clara, United States
12 h-index
35 publications
1.9K citations
Princeton University
Princeton, United States
12 h-index
27 publications
3.4K citations
University of Maryland, College Park
College Park, United States
12 h-index
20 publications
1.2K citations
1–8 of 242
21 publications · 2.2K citations
18
h-index
19 publications · 1K citations
13
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PER · 10 publications · 315 citations
10
h-index
10 publications · 510 citations
10
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TOCS · 8 publications · 752 citations
8
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1–5