Cache Access Patterns
Cache Access Patterns is a computational behavior construct that characterizes the temporal and spatial regularities in memory reference sequences relative to cache hierarchies, distinguishing it from general memory access models by focusing specifically on the recurrence, locality, and predictability of data accesses as they affect cache performance.
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42.5K
Citations
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Authors
357
Institutions
Publications per year
2017–2026
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XGBoost: A Scalable Tree Boosting System
arXiv (Cornell University) · 2016 · 7.1K citations · Full text
Web caching and Zipf-like distributions: evidence and implications
Lee Breslau, Pei Cao, Fan Li et al. · 1999 · 3.5K citations
Zidong Du, Robert Fasthuber, Tianshi Chen et al. · 2015 · 961 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
23 h-index
79 publications
8.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
22 h-index
63 publications
5K citations
University of Wisconsin–Madison
Madison, United States
17 h-index
51 publications
10.8K citations
University of Michigan
Ann Arbor, United States
16 h-index
37 publications
2.9K citations
Intel (United States)
Santa Clara, United States
16 h-index
46 publications
3.6K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
14 h-index
56 publications
2K citations
IBM (United States)
Armonk, United States
14 h-index
56 publications
2.3K citations
North Carolina State University
Raleigh, United States
13 h-index
27 publications
1.6K citations
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21 publications · 1.1K citations
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Repository · 14 publications · 775 citations
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PER · 9 publications · 415 citations
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