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Li et al., 2020 - Google Patents

The deep learning compiler: A comprehensive survey

Li et al., 2020

View PDF
Document ID
6575001779027202130
Author
Li M
Liu Y
Liu X
Sun Q
You X
Yang H
Luan Z
Gan L
Yang G
Qian D
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

The difficulty of deploying various deep learning (DL) models on diverse DL hardware has boosted the research and development of DL compilers in the community. Several DL compilers have been proposed from both industry and academia such as Tensorflow XLA …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F8/4441—Reducing the execution time required by the program code
    • G06F8/4442—Reducing the number of cache misses; Data prefetching
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