Scientific Data Management Integrated Software Infrastructure Center

Choudhary, A. ; Liao, W.K.

Northwestern University (Evanston, Ill.)

关键词: Management;    Storage;    Kernels;    Anl;    99 General And Miscellaneous;   

DOI  :  10.2172/940026
RP-ID  :  DOE/ER/25485-1
RP-ID  :  FC02-01ER25485
RP-ID  :  940026

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.