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Scalable in situ scientific data encoding for analytical query processing
2013
Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
The process of scientific data analysis in high-performance computing environments has been evolving along with the advancement of computing capabilities. With the onset of exascale computing, the increasing gap between compute performance and I/O bandwidth has rendered the traditional method of post-simulation processing a tedious process. Despite the challenges due to increased data production, there exists an opportunity to benefit from "cheap" computing power to perform query-driven
doi:10.1145/2462902.2465527
fatcat:pdrsmcgwsnfo7otplogzif5ae4