@inproceedings{f635dc477a934afe99c742b55543aec7,
title = "CuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance",
abstract = "Modern scientific applications and supercomputing systems are generating large amounts of data in various fields, leading to critical challenges in data storage footprints and communication times. To address this issue, error-bounded GPU lossy compression has been widely adopted, since it can reduce the volume of data within a customized threshold on data distortion. In this work, we propose an ultra-fast error-bounded GPU lossy compressor cuSZp. Specifically, cuSZp computes the linear recurrences with hierarchical parallelism to fuse the massive computation into one kernel, drastically improving the end-to-end throughput. In addition, cuSZp adopts a block-wise design along with a lightweight fixed-length encoding and bit-shuffle inside each block such that it achieves high compression ratios and data quality. Our experiments on NVIDIA A100 GPU with 6 representative scientific datasets demonstrate that cuSZp can achieve an ultra-fast end-to-end throughput (95.53x compared with cuSZ) along with a high compression ratio and high reconstructed data quality.",
keywords = "CUDA, GPU, error-bounded lossy compression, high-speed compressor, parallel computing, scientific simulation",
author = "Yafan Huang and Sheng Di and Xiaodong Yu and Guanpeng Li and Franck Cappello",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 ; Conference date: 12-11-2023 Through 17-11-2023",
year = "2023",
month = nov,
day = "12",
doi = "10.1145/3581784.3607048",
language = "English (US)",
series = "Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023",
address = "United States",
}