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H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.

, , , , , , and . FPL, page 200-208. IEEE, (2022)

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Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets., , , and . ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 43-54. Springer, (2017)Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures., , , , , , and . CoRR, (2020)SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates., , , , , , , , , and . CoRR, (2022)SIMD Lossy Compression for Scientific Data., , , , , and . CoRR, (2022)SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors., , , , , , , and . CoRR, (2021)COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression., , , , , , , and . Proc. VLDB Endow., 15 (4): 886-899 (2021)FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data., , , , , , and . CoRR, (2023)SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors., , , , , , , , , and 2 other author(s). IEEE Trans. Big Data, 9 (2): 485-498 (April 2023)Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling., , , , , and . ICDE, page 2494-2507. IEEE, (2022)Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures., , , , , , and . IPDPS, page 881-891. IEEE, (2021)