Scalable Memory Systems
Scalable Memory Systems is a parallel memory management framework designed to maintain efficient performance and resource utilization under increasing computational demands by dynamically adapting to system size and workload complexity.
131
Publications
13.1K
Citations
502
Authors
155
Institutions
Publications per year
2017–2026
28
Parents
131
Architecting phase change memory as a scalable dram alternative
Benjamin C. Lee, Engin İpek, Onur Mutlu et al. · 2009 · 1.4K citations
LUBM: A benchmark for OWL knowledge base systems
Yuanbo Guo, Zhengxiang Pan, Jeff Heflin · Journal of Web Semantics · 2005 · 1.3K citations
A scalable processing-in-memory accelerator for parallel graph processing
Junwhan Ahn, Sungpack Hong, Sungjoo Yoo et al. · 2015 · 761 citations
1–5 of 131
502
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4
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1–5 of 502
155
Georgia Institute of Technology
Atlanta, United States
9 h-index
20 publications
2.1K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
17 publications
5.5K citations
IBM (United States)
Armonk, United States
8 h-index
40 publications
6.5K citations
Oracle (United States)
Austin, United States
6 h-index
11 publications
786 citations
Stanford University
Stanford, United States
5 h-index
23 publications
3.1K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
313 citations
University of California San Diego
San Diego, United States
4 h-index
12 publications
536 citations
Intel (United States)
Santa Clara, United States
4 h-index
12 publications
260 citations
1–8 of 155
8 publications · 1.5K citations
8
h-index
3 publications · 503 citations
3
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PVLDB · 3 publications · 118 citations
3
h-index
2 publications · 31 citations
2
h-index
2 publications · 82 citations
2
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1–5