Memory Scaling
Memory Scaling is a methodological framework in computer architecture that systematically enhances memory capacity, bandwidth, or efficiency through scalable design principles to meet growing computational demands.
327
Publications
21.9K
Citations
1.4K
Authors
279
Institutions
Publications per year
2017–2026
95
Parents
327
Hitting the Memory Wall: Implications of the Obvious
Wm. A. Wulf, Sally A. McKee · 1995 · 1.4K citations
Architecting phase change memory as a scalable dram alternative
Benjamin C. Lee, Engin İpek, Onur Mutlu et al. · 2009 · 1.4K citations
ZeRO: Memory optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase et al. · 2020 · 741 citations
Phase-Change Technology and the Future of Main Memory
Benjamin C. Lee, Ping Zhou, Jun Yang et al. · IEEE Micro · 2010 · 406 citations
1–5 of 327
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279
Carnegie Mellon University
Pittsburgh, United States
20 h-index
52 publications
6.9K citations
Stanford University
Stanford, United States
15 h-index
43 publications
4.8K citations
Samsung (South Korea)
Seoul, South Korea
13 h-index
145 publications
9.7K citations
Intel (United States)
Santa Clara, United States
12 h-index
37 publications
2.4K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
33 publications
2.1K citations
University of Pittsburgh
Pittsburgh, United States
10 h-index
30 publications
2.3K citations
IBM (United States)
Armonk, United States
10 h-index
49 publications
7.8K citations
Micron (United States)
Boise, United States
10 h-index
23 publications
712 citations
1–8 of 279
9 publications · 597 citations
9
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8 publications · 624 citations
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7 publications · 872 citations
7
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Repository · 7 publications · 394 citations
7
h-index
6 publications · 517 citations
6
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