Unified Memory Optimization
Unified Memory Optimization is a memory hierarchy optimization framework that integrates disparate memory spaces into a single coherent address space, enabling automatic data migration and coherence management to minimize explicit memory transfer overhead in heterogeneous computing systems.
12
Publications
292
Citations
34
Authors
14
Institutions
Publications per year
2017–2026
12
12
Performance Evaluation of Advanced Features in CUDA Unified Memory
2019 · 49 citations · Full text
Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading
Alok Mishra, Lingda Li, Martin Kong et al. · 2017 · 43 citations · Full text
Marcin Knap, Paweł Czarnul · The Journal of Supercomputing · 2019 · 43 citations · Full text
DeepUM: Tensor Migration and Prefetching in Unified Memory
Jaehoon Jung, Jin-Pyo Kim, Jaejin Lee · 2023 · 29 citations
1–5 of 12
34
2
h-index
2
h-index
2
h-index
International Institute for Applied Systems Analysis, Austria
1 publications · 25 citations
1
h-index
1
h-index
1–5 of 34
14
Gdańsk University of Technology
Gdansk, Poland
2 h-index
4 publications
136 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
3 publications
113 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
3 publications
77 citations
Seoul National University
Seoul, South Korea
2 h-index
7 publications
133 citations
Argonne National Laboratory
Lemont, United States
2 h-index
2 publications
57 citations

Brookhaven National Laboratory
Upton, United States
1 h-index
3 publications
129 citations
Politecnico di Torino
Turin, Italy
1 h-index
2 publications
22 citations
University of California, Davis
Davis, United States
1 h-index
3 publications
36 citations
1–8 of 14
3 publications · 81 citations
3
h-index
2 publications · 34 citations
2
h-index
Repository · 1 publications · 12 citations
1
h-index
Repository · 1 publications · 15 citations
1
h-index
1 publications · 13 citations
1–5