Scientific Data Management Integrated Software Infrastructure Center
This work provides software that enables scientific applications to more efficiently access available storage resources at different levels of interfaces. We developed scalable techniques and optimizations for PVFS parallel file systems, MPI I/O, and parallel netCDF I/O library. These implementations were evaluated using production application I/O kernels as well as popular I/O benchmarks and demonstrated promising results. The software developed under this work has been made available to the public via MCS, ANL web sites.
- Research Organization:
- Northwestern Univ., Evanston, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- FC02-01ER25485
- OSTI ID:
- 940026
- Report Number(s):
- DOE/ER/25485-1; TRN: US201010%%422
- Country of Publication:
- United States
- Language:
- English
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