Heterogeneous Memory Systems
Heterogeneous Memory Systems is a memory architecture that integrates multiple types of memory technologies with distinct performance, power, and capacity characteristics into a unified address space to optimize data access efficiency in GPU computing environments.
110
Publications
5.5K
Citations
340
Authors
116
Institutions
Publications per year
2017–2026
55
110
Saber Moradi, Ning Qiao, Fabio Stefanini et al. · IEEE Transactions on Biomedical Circuits and Systems · 2017 · 643 citations · Full text
Justin Pawlowski · 2011 · 385 citations
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
Chenyou Fan, Xiaofan Zhang, Shu Zhang et al. · 2019 · 274 citations
Data tiering in heterogeneous memory systems
Subramanya R. Dulloor, Amitabha Roy, Zheguang Zhao et al. · 2016 · 204 citations
1–5 of 110
340
5
h-index
5
h-index
4
h-index
4
h-index
4
h-index
1–5 of 340
116
Georgia Institute of Technology
Atlanta, United States
9 h-index
20 publications
1.1K citations
Intel (United States)
Santa Clara, United States
7 h-index
16 publications
1.9K citations
University of Wisconsin–Madison
Madison, United States
6 h-index
10 publications
510 citations
University of Michigan
Ann Arbor, United States
6 h-index
11 publications
443 citations
Nvidia (United States)
Santa Clara, United States
5 h-index
16 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
20 publications
701 citations
University of California, Merced
Merced, United States
5 h-index
15 publications
576 citations
Argonne National Laboratory
Lemont, United States
4 h-index
6 publications
125 citations
1–8 of 116
4 publications · 75 citations
4
h-index
Repository · 4 publications · 139 citations
4
h-index
3 publications · 38 citations
3
h-index
2 publications · 48 citations
2
h-index
TPDS · 2 publications · 112 citations
2
h-index
1–5