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1 Ergebnisse
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POSTER: ParGNN: Efficient Training for Large-Scale Graph Ne..:
, In:
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
,
Li, Shunde
;
Gu, Junyu
;
Wang, Jue
... - p. 469-471 , 2024
Link:
https://dl.acm.org/doi/10.1145/3627535.3638488
RT T1
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
: T1
POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters
UL https://suche.suub.uni-bremen.de/peid=acm-3638488&Exemplar=1&LAN=DE A1 Li, Shunde A1 Gu, Junyu A1 Wang, Jue A1 Yao, Tiechui A1 Liang, Zhiqiang A1 Shi, Yumeng A1 Li, Shigang A1 Xi, Weiting A1 Li, Shushen A1 Zhou, Chunbao A1 Wang, Yangang A1 Chi, Xuebin PB ACM YR 2024 K1 graph neural network K1 load balancing K1 data transfer hiding K1 distributed training K1 Computing methodologies K1 Parallel computing methodologies K1 Machine learning SP 469 OP 471 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627535.3638488 DO https://dl.acm.org/doi/10.1145/3627535.3638488 SF ELIB - SuUB Bremen
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