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1 Ergebnisse
1
TLPGNN : A Lightweight Two-Level Parallelism Paradigm fo..:
, In:
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
,
Fu, Qiang
;
Ji, Yuede
;
Huang, H. Howie
- p. 122-134 , 2022
Link:
https://dl.acm.org/doi/10.1145/3502181.3531467
RT T1 <cTitle>Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing</cTitle>: T1 <Title>TLPGNN : A Lightweight Two-Level Parallelism Paradigm for Graph Neural Network Computation on GPU</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3531467&Exemplar=1&LAN=DE A1 Fu, Qiang A1 Ji, Yuede A1 Huang, H. Howie PB ACM YR 2022 K1 gpu K1 graph neural networks K1 performance K1 General and reference K1 Cross-computing tools and techniques K1 Performance K1 Computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms K1 Massively parallel algorithms K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks SP 122 OP 134 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3502181.3531467 DO https://dl.acm.org/doi/10.1145/3502181.3531467 SF ELIB - SuUB Bremen
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