Abstract
This paper explores ways to achieve the highest possible exchange performance with files containing structured data. The research was carried out on file systems with supercomputer systems parallel access designed to solve problems of physical and mathematical modeling of various processes and objects. For example, parallel access to raw data is considered using the Lustre file system. The article suggests a way to organize parallel access to structured data based on a specially developed PSIO storage format and the psio access library. A comparative analysis of the I/O performance of the developed data storage format and the HDF5 parallel version format is performed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institute for System Programming of the RAS
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
