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ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.

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Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data., , , , , , , and . Proc. VLDB Endow., 16 (4): 697-710 (2022)Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs., , , , , , , , , and . CLUSTER, page 283-293. IEEE, (2021)waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data., , , , , , , and . PPoPP, page 74-88. ACM, (2020)CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression., , , , , and . ICS, page 12:1-12:13. ACM, (2022)H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture., , , , , , and . FPL, page 200-208. IEEE, (2022)Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs., , , , , and . IPDPS, page 717-727. IEEE, (2022)cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data., , , , , , , , , and 1 other author(s). PACT, page 3-15. ACM, (2020)DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression., , , , , and . HPDC, page 159-170. ACM, (2019)AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications., , , , , , , , , and 4 other author(s). SC, page 44:1-44:15. ACM, (2023)HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures., , , , , and . PACT, page 412-425. ACM, (2022)