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Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick., , , , , , , , , and . MLSys, mlsys.org, (2021)Laconic Deep Learning Computing., , , , and . CoRR, (2018)IDEAL: image denoising accelerator., , , , , , , and . MICRO, page 82-95. ACM, (2017)Exploiting Typical Values to Accelerate Deep Learning., , , , , , , , and . Computer, 51 (5): 18-30 (2018)Bit-pragmatic Deep Neural Network Computing., , , , and . CoRR, (2016)Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing., , , and . CoRR, (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)APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference., , and . CoRR, (2022)