Memory Optimization
Memory Optimization is a methodology within high-level synthesis for IoT embedded systems and Vine Architecture that reduces memory usage and access latency by transforming data storage and access patterns, distinguishing itself through architectural-aware optimizations targeting energy efficiency and performance.
270
Publications
10.7K
Citations
924
Authors
284
Institutions
Publications per year
2017–2026
93
270
Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm
Meikang Qiu, Zhong Ming, Jiayin Li et al. · IEEE Transactions on Computers · 2015 · 361 citations
A GPGPU compiler for memory optimization and parallelism management
Yi Yang, Ping Xiang, Jingfei Kong et al. · 2010 · 276 citations · Full text
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin, Wei-Ming Chen, Yujun Lin et al. · arXiv (Cornell University) · 2020 · 257 citations · Full text
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284
IMEC
Leuven, Belgium
16 h-index
60 publications
3.7K citations

Pennsylvania State University
State College, United States
13 h-index
63 publications
2.5K citations
KU Leuven
Leuven, Belgium
11 h-index
27 publications
1K citations
University of California, Irvine
Irvine, United States
7 h-index
15 publications
917 citations
Microsoft (United States)
Redmond, United States
7 h-index
19 publications
468 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
18 publications
540 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
5 h-index
20 publications
1.1K citations

National University of Defense Technology
Changsha, China
5 h-index
21 publications
410 citations
1–8 of 284
Repository · 10 publications · 522 citations
10
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6 publications · 249 citations
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6 publications · 589 citations
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TODAES · 5 publications · 469 citations
5
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5 publications · 132 citations
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