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Volumn 36, Issue 3, 2017, Pages 513-517

DLAU: A scalable deep learning accelerator unit on FPGA

Author keywords

Deep learning; field programmable gate array (FPGA); hardware accelerator; neural network

Indexed keywords

ACCELERATION; COMPLEX NETWORKS; DEEP NEURAL NETWORKS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); HARDWARE; LEARNING SYSTEMS; LOGIC GATES; LOW POWER ELECTRONICS; NEURAL NETWORKS; PIPELINE PROCESSING SYSTEMS;

EID: 85013628943     PISSN: 02780070     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCAD.2016.2587683     Document Type: Article
Times cited : (309)

References (9)
  • 1
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • Y. Le Cun, Y. Bengio, and G. Hinton, "Deep learning, " Nature, vol. 521, no. 7553, pp. 436-444, 2015.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • Le Cun, Y.1    Bengio, Y.2    Hinton, G.3
  • 2
    • 84960091813 scopus 로고    scopus 로고
    • DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers
    • J. Hauswald, et al., "DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers, " in Proc. ISCA, Portland, OR, USA, 2015, pp. 27-40.
    • (2015) Proc. ISCA, Portland, OR, USA , pp. 27-40
    • Hauswald, J.1
  • 3
    • 84962921765 scopus 로고    scopus 로고
    • Optimizing FPGA-based accelerator design for deep convolutional neural networks
    • C. Zhang, et al., "Optimizing FPGA-based accelerator design for deep convolutional neural networks, " in Proc. FPGA, Monterey, CA, USA, 2015, pp. 161-170.
    • (2015) Proc. FPGA, Monterey, CA, USA , pp. 161-170
    • Zhang, C.1
  • 4
    • 85013878862 scopus 로고    scopus 로고
    • Accessed on Apr. 4 . [Online]. Available
    • P. Thibodeau. Data Centers are the New Polluters. Accessed on Apr. 4, 2016. [Online]. Available: http://www.computerworld.com/article/2598562/data-center/data-centers-Are-The-new-polluters.html
    • (2016) Data Centers Are the New Polluters
    • Thibodeau, P.1
  • 5
    • 67650661629 scopus 로고    scopus 로고
    • A high-performance FPGA architecture for restricted Boltzmann machines
    • D. L. Ly, and P. Chow, "A high-performance FPGA architecture for restricted Boltzmann machines, " in Proc. FPGA, Monterey, CA, USA, 2009, pp. 73-82.
    • (2009) Proc. FPGA, Monterey, CA, USA , pp. 73-82
    • Ly, D.L.1    Chow, P.2
  • 6
    • 84897780584 scopus 로고    scopus 로고
    • DianNao: A small-footprint high-Throughput accelerator for ubiquitous machine-learning
    • T. Chen, et al., "DianNao: A small-footprint high-Throughput accelerator for ubiquitous machine-learning, " in Proc. ASPLOS, Salt Lake City, UT, USA, 2014, pp. 269-284.
    • (2014) Proc. ASPLOS, Salt Lake City, UT, USA , pp. 269-284
    • Chen, T.1
  • 8
    • 84941198938 scopus 로고    scopus 로고
    • A deep learning prediction process accelerator based FPGA
    • Q. Yu, C. Wang, X. Ma, X. Li, and X. Zhou, "A deep learning prediction process accelerator based FPGA, " in Proc. CCGRID, Shenzhen, China, 2015, pp. 1159-1162.
    • (2015) Proc. CCGRID, Shenzhen, China , pp. 1159-1162
    • Yu, Q.1    Wang, C.2    Ma, X.3    Li, X.4    Zhou, X.5
  • 9
    • 84966533810 scopus 로고    scopus 로고
    • Going deeper with embedded FPGA platform for convolutional neural network
    • J. Qiu, et al., "Going deeper with embedded FPGA platform for convolutional neural network, " in Proc. FPGA, Monterey, CA, USA, 2016, pp. 26-35.
    • (2016) Proc. FPGA, Monterey, CA, USA , pp. 26-35
    • Qiu, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.