MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Document Type
Article
Publication Date
12-1-2023
Abstract
We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point scientific data on structured and unstructured grids. With exceptional data compression capability and precise error control, MGARD addresses a wide range of requirements, including storage reduction, high-performance I/O, and in-situ data analysis. It features a unified application programming interface (API) that seamlessly operates across diverse computing architectures. MGARD has been optimized with highly-tuned GPU kernels and efficient memory and device management mechanisms, ensuring scalable and rapid operations.
Identifier
85177818535 (Scopus)
Publication Title
Softwarex
External Full Text Location
https://doi.org/10.1016/j.softx.2023.101590
e-ISSN
23527110
Volume
24
Grant
DE-AC05-00OR22725
Fund Ref
U.S. Department of Energy
Recommended Citation
Gong, Qian; Chen, Jieyang; Whitney, Ben; Liang, Xin; Reshniak, Viktor; Banerjee, Tania; Lee, Jaemoon; Rangarajan, Anand; Wan, Lipeng; Vidal, Nicolas; Liu, Qing; Gainaru, Ana; Podhorszki, Norbert; Archibald, Richard; Ranka, Sanjay; and Klasky, Scott, "MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring" (2023). Faculty Publications. 1294.
https://digitalcommons.njit.edu/fac_pubs/1294
