Memory-Compute Partitioning is a hardware-software partitioning methodology that categorically allocates computational tasks and data storage functions between processing units and memory resources to optimize system performance, power efficiency, and resource utilization in heterogeneous computing architectures.
4
Publications
400
Citations
10
Authors
4
Institutions
Publications per year
2017–2026
2
Publications
4
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai et al. · arXiv (Cornell University) · 2017 · 341 citations · Full text
Hardware Compute Partitioning on NVIDIA GPUs
Joshua Bakita, James H. Anderson · 2023 · 36 citations
MECLA: Memory-Compute-Efficient LLM Accelerator with Scaling Sub-matrix Partition
Yubin Qin, Yang Wang, Zhiren Zhao et al. · 2024 · 24 citations
1–5 of 4
Authors
10
- JHJames H. Anderson
University of North Carolina at Chapel Hill, United States
1 publications · 36 citations
1
h-index
- VC
1
h-index
- YZ
1
h-index
- JBJoshua Bakita
University of North Carolina at Chapel Hill, United States
1 publications · 36 citations
1
h-index
- LL
1
h-index
1–5 of 10
Institutions
4
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
2 publications
72 citations
Universidad de Málaga
Málaga, Spain
1 h-index
2 publications
22 citations
Hunter Medical Research Institute
Newcastle, Australia
1 h-index
1 publications
11 citations
University of Newcastle Australia
Newcastle, Australia
1 h-index
1 publications
11 citations
Tsinghua University
Beijing, China
1 publications
24 citations
1–5 of 4
Venues
- Journal of Parallel and Distributed Computing
1 publications · 11 citations
1
h-index
- arXiv (Cornell University)
Repository · 1 publications · 341 citations
1
h-index
- eScholarship (California Digital Library)
Repository · 1 publications · 12 citations
1
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1–3