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Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , und . Euro-Par, Volume 10417 von Lecture Notes in Computer Science, Seite 3-19. Springer, (2017)

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Tao Tao

Dingwen Yuan

Tao Huu Phung

Christina Taouss

Madelaine Taoubi

 

Other publications of authors with the same name

Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing., , , , , , , and . HPCC/SmartCity/DSS, page 1791-1797. IEEE, (2019)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)Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP., , , , and . IEEE Trans. Parallel Distributed Syst., 30 (8): 1857-1871 (2019)A novel memory-efficient deep learning training framework via error-bounded lossy compression., , , and . PPoPP, page 485-487. ACM, (2021)Fixed-PSNR Lossy Compression for Scientific Data., , , , and . CLUSTER, page 314-318. IEEE Computer Society, (2018)DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression., , , , , and . HPDC, page 159-170. ACM, (2019)cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data., , , , , , , , , and 1 other author(s). PACT, page 3-15. ACM, (2020)TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs., , , , , , , , , and . ICS, page 106-116. 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)