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1 Ergebnisse
1
TorchSparse++: Efficient Training and Inference Framework f..:
, In:
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture
,
Tang, Haotian
;
Yang, Shang
;
Liu, Zhijian
... - p. 225-239 , 2023
Link:
https://dl.acm.org/doi/10.1145/3613424.3614303
RT T1 <cTitle>Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture</cTitle>: T1 <Title>TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3614303&Exemplar=1&LAN=DE A1 Tang, Haotian A1 Yang, Shang A1 Liu, Zhijian A1 Hong, Ke A1 Yu, Zhongming A1 Li, Xiuyu A1 Dai, Guohao A1 Wang, Yu A1 Han, Song PB ACM YR 2023 K1 GPU K1 graph K1 high-performance computing K1 neural network K1 point cloud K1 sparse convolution K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks SP 225 OP 239 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3613424.3614303 DO https://dl.acm.org/doi/10.1145/3613424.3614303 SF ELIB - SuUB Bremen
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