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- research-articleJanuary 2023Best Paper
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
PACT '22: Proceedings of the International Conference on Parallel Architectures and Compilation TechniquesPages 40–53https://doi.org/10.1145/3559009.3569693Graph convolutional networks (GCNs) are becoming increasingly popular as they can process a wide variety of data formats that prior deep neural networks cannot easily support. One key challenge in designing hardware accelerators for GCNs is the vast ...
- research-articleJuly 2021
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
IEEE Computer Architecture Letters (ICAL), Volume 20, Issue 2Pages 102–105https://doi.org/10.1109/LCA.2021.3090954GCNs (Graph Convolutional Networks) are becoming increasingly popular in the field of neural networks due to their ability to analyze many kinds of irregular data. Along with the rapid growth, there are various accelerators being proposed to mitigate the ...