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Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks., , , and . CoRR, (2017)Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick., , , , , , , , , and . MLSys, mlsys.org, (2021)Bit-pragmatic deep neural network computing., , , , , , and . MICRO, page 382-394. ACM, (2017)Bit-pragmatic Deep Neural Network Computing., , , , and . CoRR, (2016)Bit-pragmatic Deep Neural Network Computing., , , , and . CoRR, (2016)Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing., , , and . CoRR, (2017)Bit-Pragmatic Deep Neural Network Computing., , , , and . ICLR (Workshop), OpenReview.net, (2017)Value-Based Deep-Learning Acceleration., , , , , , , and . IEEE Micro, 38 (1): 41-55 (2018)Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks., , , and . CoRR, (2017)Accelerating Image-Sensor-Based Deep Learning Applications., , , , , , , , , and 1 other author(s). IEEE Micro, 39 (5): 26-35 (2019)