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Volumn 05-09-June-2016, Issue , 2016, Pages

C-brain: A deep learning accelerator that tames the diversity of CNNs through adaptive data-level parallelization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER AIDED DESIGN; DESIGN; ENERGY CONSERVATION; ENERGY EFFICIENCY; HARDWARE; NEURAL NETWORKS; RECONFIGURABLE HARDWARE;

EID: 84977150476     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2897937.2897995     Document Type: Conference Paper
Times cited : (105)

References (18)
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    • Memory-centric accelerator design for convolutional neural networks
    • Peemen, M., et al. Memory-centric accelerator design for convolutional neural networks. In Computer Design (ICCD), 2013
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    • Peemen, M.1
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    • Neuflow: A runtime reconfigurable dataflow processor for vision
    • Farabet, C., et al. Neuflow: A runtime reconfigurable dataflow processor for vision. In Proc. of CVPRW, 2011
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  • 8
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    • Diannao:A small-footprint high-throughput accelerator for ubiquitous machine-learning
    • Chen,T.,et al. Diannao:A small-footprint high-throughput accelerator for ubiquitous machine-learning. In Proc. of ASPLOS, 2014
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    • Chen, T.1
  • 9
    • 84940782827 scopus 로고    scopus 로고
    • 4.6 A1 93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications
    • Park, S., et al. 4.6 A1. 93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications. In Proc. of ISSCC, 2015
    • (2015) Proc. of ISSCC
    • Park, S.1
  • 11
    • 84906811144 scopus 로고    scopus 로고
    • A massively parallel coprocessor for convolutional neural networks
    • Sankaradas, M., et al. A massively parallel coprocessor for convolutional neural networks. In Proc. Of ASAP, 2009
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    • Sankaradas, M.1
  • 12
    • 79953078928 scopus 로고    scopus 로고
    • A programmable parallel accelerator for learning and classification
    • Cadambi, S., et al. A programmable parallel accelerator for learning and classification. In Proc. of PACT, 2010
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  • 13
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    • A dynamically configurable coprocessor for convolutional neural networks
    • Chakradhar, S., et al. A dynamically configurable coprocessor for convolutional neural networks. In ACM SIGARCH Computer Architecture News, 2010
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.