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1 Ergebnisse
1
BitGNN: Unleashing the Performance Potential of Binary Grap..:
, In:
Proceedings of the 37th ACM International Conference on Supercomputing
,
Chen, Jou-An
;
Sung, Hsin-Hsuan
;
Shen, Xipeng
.. - p. 264-276 , 2023
Link:
https://dl.acm.org/doi/10.1145/3577193.3593725
RT T1 <cTitle>Proceedings of the 37th ACM International Conference on Supercomputing</cTitle>: T1 <Title>BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3593725&Exemplar=1&LAN=DE A1 Chen, Jou-An A1 Sung, Hsin-Hsuan A1 Shen, Xipeng A1 Choudhury, Sutanay A1 Li, Ang PB ACM YR 2023 K1 graph neural networks K1 binarized GNN K1 bit manipulation K1 GPU K1 sparse matrix K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Parallel computing methodologies K1 Parallel algorithms K1 Massively parallel algorithms K1 Computer systems organization K1 Architectures K1 Parallel architectures K1 Single instruction, multiple data SP 264 OP 276 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3577193.3593725 DO https://dl.acm.org/doi/10.1145/3577193.3593725 SF ELIB - SuUB Bremen
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