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1 Ergebnisse
1
oneDNN Graph Compiler: A Hybrid Approach for High-Performan..:
, In:
2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
,
Li, Jianhui
;
Qin, Zhennan
;
Mei, Yijie
... - p. 460-470 , 2024
Link:
https://doi.org/10.1109/CGO57630.2024.10444871
RT T1 <cTitle>2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)</cTitle>: T1 <Title>oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10444871&Exemplar=1&LAN=DE A1 Li, Jianhui A1 Qin, Zhennan A1 Mei, Yijie A1 Cui, Jingze A1 Song, Yunfei A1 Chen, Ciyong A1 Zhang, Yifei A1 Du, Longsheng A1 Cheng, Xianhang A1 Jin, Baihui A1 Zhang, Yan A1 Ye, Jason A1 Lin, Eric A1 Lavery, Dan YR 2024 SN 2643-2838 K1 Deep learning K1 Tensors K1 Codes K1 Computational modeling K1 Artificial neural networks K1 Libraries K1 Optimization K1 Deep Learning Compiler K1 Code Generation and Optimization K1 High-Performance Library SP 460 OP 470 LK http://dx.doi.org/https://doi.org/10.1109/CGO57630.2024.10444871 DO https://doi.org/10.1109/CGO57630.2024.10444871 SF ELIB - SuUB Bremen
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