Memory Hierarchy Modeling
Memory Hierarchy Modeling is a computational abstraction that characterizes the organization, behavior, and performance of multi-level memory systems by integrating spatial and temporal data access patterns, capacity constraints, and bandwidth limitations across hierarchical storage layers to enable accurate prediction and optimization of memory system efficiency.
306
Publications
17.2K
Citations
830
Authors
271
Institutions
Publications per year
2017–2026
45
306
Swarup Acharya, Rafael Alonso, Michael J. Franklin et al. · 1995 · 799 citations
GARNET: A detailed on-chip network model inside a full-system simulator
Niket Agarwal, Tushar Krishna, Li-Shiuan Peh et al. · 2009 · 759 citations · Full text
Cascade Models of Synaptically Stored Memories
Stefano Fusi, Patrick J. Drew, L. F. Abbott · Neuron · 2005 · 583 citations · Full text
Kayvon Fatahalian, William J. Dally, Pat Hanrahan et al. · 2006 · 463 citations
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IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
9 h-index
19 publications
1.3K citations
IBM (United States)
Armonk, United States
9 h-index
16 publications
970 citations
Princeton University
Princeton, United States
8 h-index
16 publications
3.6K citations
The Ohio State University
Columbus, United States
8 h-index
25 publications
673 citations

Cornell University
Ithaca, United States
8 h-index
18 publications
1.6K citations
IMEC
Leuven, Belgium
7 h-index
25 publications
788 citations
Stanford University
Stanford, United States
7 h-index
32 publications
7.9K citations
Intel (United States)
Santa Clara, United States
6 h-index
14 publications
2.9K citations
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7 publications · 1.4K citations
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7 publications · 293 citations
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TOMS · 5 publications · 452 citations
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4 publications · 142 citations
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4 publications · 250 citations
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