Abstract: Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of disk hardware. Parallel disk I/O subsystems have been proposed as one way to close the gap between processor and disk speeds. Such parallel disk systems require parallel file system software to avoid performance-limiting bottlenecks. We discuss cache management techniques that can be used in a parallel file system implementation for multiprocessors with scientific workloads. We examine several writeback policies, and give results of experiments that test their performance.
Keywords: parallel computing, file system, parallel-IO
Copyright © 1993 by Academic Press.The copy made available here is the authors' version; for a definitive copy see the publisher's version described above.
See also earlier version kotz:writeback.