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1 Ergebnisse
1
I/O lower bounds for auto-tuning of convolutions in CNNs:
, In:
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
,
Zhang, Xiaoyang
;
Xiao, Junmin
;
Tan, Guangming
- p. 247-261 , 2021
Link:
https://dl.acm.org/doi/10.1145/3437801.3441609
RT T1
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
: T1
I/O lower bounds for auto-tuning of convolutions in CNNs
UL https://suche.suub.uni-bremen.de/peid=acm-3441609&Exemplar=1&LAN=DE A1 Zhang, Xiaoyang A1 Xiao, Junmin A1 Tan, Guangming PB ACM YR 2021 K1 I/O lower bounds K1 auto-tuning K1 convolutional neural network K1 dataflow design K1 red-blue pebble game K1 Computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms K1 Theory of computation K1 Computational complexity and cryptography K1 Communication complexity SP 247 OP 261 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3437801.3441609 DO https://dl.acm.org/doi/10.1145/3437801.3441609 SF ELIB - SuUB Bremen
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