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Slice-and-Forge: Making Better Use of Caches for Graph Convolutional
  Network Accelerators

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators

International Conference on Parallel Architectures and Compilation Techniques (PACT), 2022
24 January 2023
Min-hee Yoo
Jaeyong Song
Hyeyoon Lee
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
    GNN
ArXiv (abs)PDFHTMLGithub

Papers citing "Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators"

2 / 2 papers shown
PID-Comm: A Fast and Flexible Collective Communication Framework for
  Commodity Processing-in-DIMM Devices
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices
Si Ung Noh
Junguk Hong
Chaemin Lim
Seong-Yeol Park
Jeehyun Kim
Hanjun Kim
Youngsok Kim
Jinho Lee
283
16
0
13 Apr 2024
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional
  Network Accelerators
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network AcceleratorsInternational Symposium on High-Performance Computer Architecture (HPCA), 2023
Mingi Yoo
Jaeyong Song
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
320
33
0
25 Jan 2023
1
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