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Volumn , Issue , 2017, Pages 2861-2865

Accelerating Deep Convolutional Networks using low-precision and sparsity

Author keywords

Accelerator; Deep Neural Networks; Ternary weight Convolutions

Indexed keywords


EID: 85016049062     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2017.7952679     Document Type: Conference Paper
Times cited : (110)

References (18)
  • 3
    • 85017228534 scopus 로고    scopus 로고
    • Tensor processing unit. https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html.
    • Tensor Processing Unit
  • 16
    • 84869388261 scopus 로고    scopus 로고
    • Codesign tradeoffs for high-performance, low-power linear algebra architectures
    • December
    • Ardavan Pedram, Robert A. van de Geijn, and Andreas Gerstlauer. Codesign tradeoffs for high-performance, low-power linear algebra architectures. IEEE Trans. Comput., 61(12): 1724-1736, December 2012.
    • (2012) IEEE Trans. Comput. , vol.61 , Issue.12 , pp. 1724-1736
    • Pedram, A.1    Van De Geijn, R.A.2    Gerstlauer, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.