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Deep compression and EIE: Efficient inference engine on compressed deep neural network.

, , , , , , and . Hot Chips Symposium, page 1-6. IEEE, (2016)

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Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training., , , , and . ICLR (Poster), OpenReview.net, (2018)Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update., , , , , , and . CoRR, (2021)SysML: The New Frontier of Machine Learning Systems., , , , , , , , , and 56 other author(s). CoRR, (2019)Architectural and implementation issues for multithreading (panel session I)., , , , , and . SIGARCH Comput. Archit. News, 22 (1): 3-18 (1994)Deep compression and EIE: Efficient inference engine on compressed deep neural network., , , , , , and . Hot Chips Symposium, page 1-6. IEEE, (2016)Power, Programmability, and Granularity: The Challenges of ExaScale Computing.. IPDPS, page 878. IEEE, (2011)CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video., , and . SysML, mlsys.org, (2019)A Delay Metric for Video Object Detection: What Average Precision Fails to Tell., , and . ICCV, page 573-582. IEEE, (2019)Efficient methods and hardware for deep learning.. TIML@ISCA, page 2. ACM, (2017)Hardware for Deep Learning.. HCS, page 1-58. IEEE, (2023)