A Framework for Optimizing Parallel I/O
抄録
There has been a great deal of recent interest in parallel I/O.
This paper discusses issues in the design and implementation of
a portable I/O library designed to optimize the performance of
multiprocessor architectures that include multiple disks or disk arrays.
The major emphasis of the paper is on optimizations that are made
possible by the use of collective I/O, so that I/O requests for
multiple processors can be combined to improve performance. Performance
measurements from benchmarking our implementation of an I/O library
that currently performs collective local optimizations, called
Jovian, on three application templates are also presented.