Reuse Distance Analysis is a metric in cache behavior analysis that quantifies the number of memory accesses between consecutive references to the global memory location, distinguishing itself from other cache metrics by focusing on temporal locality through access distance to predict cache miss likelihood.
71
Publications
3.8K
Citations
160
Authors
65
Institutions
Publications per year
2017–2026
8
Parents
Publications
71
Predicting whole-program locality through reuse distance analysis
Chen Ding, Yutao Zhong · 2003 · 209 citations
Improving Cache Management Policies Using Dynamic Reuse Distances
Nam Duong, Dali Zhao, Taesu Kim et al. · 2012 · 161 citations
1–5 of 71
Authors
160
- CD
10
h-index
- AG
5
h-index
- DY
5
h-index
- MW
4
h-index
- YZ
4
h-index
1–5 of 160
Institutions
65
University of Rochester
Rochester, United States
10 h-index
20 publications
1.9K citations
Stanford University
Stanford, United States
6 h-index
13 publications
695 citations
University of Maryland, College Park
College Park, United States
5 h-index
13 publications
379 citations
The Ohio State University
Columbus, United States
4 h-index
12 publications
488 citations
William & Mary
Williamsburg, United States
4 h-index
5 publications
362 citations
Peking University
Beijing, China
3 h-index
13 publications
504 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
9 publications
516 citations
North Carolina State University
Raleigh, United States
3 h-index
9 publications
177 citations
1–8 of 65
Venues
- IEEE Transactions on Vehicular Technology
5 publications · 584 citations
5
h-index
- ACM Transactions on Architecture and Code Optimization
TACO · 3 publications · 56 citations
3
h-index
- ACM Transactions on Computer Systems
TOCS · 2 publications · 57 citations
2
h-index
- ACM SIGPLAN Notices
2 publications · 333 citations
2
h-index
- ACM SIGMETRICS Performance Evaluation Review
PER · 1 publications · 10 citations
1
h-index
1–5