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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)Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets., , , , , , , and . BigData, page 438-447. IEEE, (2018)GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing., , , , , , , , , and . SC, page 667-677. IEEE Computer Society, (2016)Significantly improving lossy compression quality based on an optimized hybrid prediction model., , , , , , and . SC, page 33:1-33:26. ACM, (2019)Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms., , , , , , , and . MSST, page 65-78. IEEE, (2019)SIMD Lossy Compression for Scientific Data., , , , , and . CoRR, (2022)Z-checker: A Framework for Assessing Lossy Compression of Scientific Data., , , , and . CoRR, (2017)Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales., , , , , , , , , and 20 other author(s). Euro-Par, volume 10417 of Lecture Notes in Computer Science, page 3-19. Springer, (2017)In-depth exploration of single-snapshot lossy compression techniques for N-body simulations., , , and . BigData, page 486-493. IEEE Computer Society, (2017)Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs., , , , , , , , , and 1 other author(s). SC, page 68:1-68:12. IEEE / ACM, (2018)