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cs.DC2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen +2
Recent studies have shown that Binary Graph Neural Networks (GNNs) are promising for saving computations of GNNs through binarized tensors. Prior work, however, mainly focused on a…
cs.DC2022
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen +3
In a general graph data structure like an adjacency matrix, when edges are homogeneous, the connectivity of two nodes can be sufficiently represented using a single bit. This insig…