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Work-in-progress :
Work-in-progress : Prediction based convolution neural network acceleration
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- Yao, Yuan (författare)
- KTH,Elektronik
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- Lu, Zhonghai (författare)
- KTH,Elektronik
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(creator_code:org_t)
- 2017-10-15
- 2017
- Engelska.
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Ingår i: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion, CASES 2017. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450351843
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Although intra-layer parallelism is commonly used to expedite CNN execution, it is difficult to achieve inter-layer parallelism because of data dependence between layers. In the paper, we propose a two-phase prediction and correction mechanism to break the data dependence between CNN layers so as to enable inter-layer parallelism. Our technique achieves one more order of magnitude (from the order of 10 to the order of 100) CNN acceleration compared to other three state-of-the-art GPU based CNN acceleration mechanisms.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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