Data Movement Optimization
Data Movement Optimization is a computational strategy within heterogeneous computing that minimizes latency and energy overhead by orchestrating the transfer of data between heterogeneous processing units and memory hierarchies through scheduling, placement, and access pattern refinement.
492
Publications
27.2K
Citations
1.6K
Authors
384
Institutions
Publications per year
2017–2026
215
492
Yu‐Hsin Chen, Joel Emer, Vivienne Sze · ACM SIGARCH Computer Architecture News · 2016 · 1.2K citations
Optimizing the migration of virtual computers
Constantine Sapuntzakis, Ramesh Chandra, Ben Pfaff et al. · ACM SIGOPS Operating Systems Review · 2002 · 411 citations
1–5 of 492
1.6K
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384
Georgia Institute of Technology
Atlanta, United States
18 h-index
66 publications
6.8K citations

Oak Ridge National Laboratory
Oak Ridge, United States
17 h-index
66 publications
5.5K citations
ETH Zurich
Zurich, Switzerland
15 h-index
40 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
47 publications
5K citations
Argonne National Laboratory
Lemont, United States
14 h-index
53 publications
1.7K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
14 h-index
59 publications
2.1K citations
Nvidia (United States)
Santa Clara, United States
13 h-index
23 publications
4.7K citations
Tsinghua University
Beijing, China
13 h-index
47 publications
2.1K citations
1–8 of 384
TPDS · 15 publications · 430 citations
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11 publications · 452 citations
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Repository · 14 publications · 348 citations
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7 publications · 580 citations
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5 publications · 291 citations
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