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Snake: A Variable-length Chain-based Prefetching for GPUs., , , , and . MICRO, page 728-741. ACM, (2023)Data-Aware Compression of Neural Networks., , , , , , and . IEEE Comput. Archit. Lett., 20 (2): 94-97 (2021)Highly Concurrent Latency-tolerant Register Files for GPUs., , , , , , , , , and . ACM Trans. Comput. Syst., 37 (1-4): 1:1-1:36 (2019)GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks., , , , , and . CoRR, (2018)Power-efficient prefetching on GPGPUs., , , and . J. Supercomput., 71 (8): 2808-2829 (2015)Application-based dynamic reconfiguration in optical network-on-chip., , and . Comput. Electr. Eng., (2015)ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning., , , and . CoRR, (2018)Enabling High-Capacity, Latency-Tolerant, and Highly-Concurrent GPU Register Files via Software/Hardware Cooperation., , , , , , , , , and . CoRR, (2020)Cluster-based approach for improving graphics processing unit performance by inter streaming multiprocessors locality., , and . IET Comput. Digit. Tech., 9 (5): 275-282 (2015)OSM: Off-Chip Shared Memory for GPUs., , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (12): 3415-3429 (2022)