article · 1998
Tools for Parallel I/O and Compute
Intensive Applications Thse, Vincent Messerli, Prof David Kotz, Prof John, H. Maddocks
Cited by 0Abstract and details only
Abstract
Most parallel file systems provide applications with conventional sequential views of files that stripe data transparently across multiple disks thus reducing the bottleneck of relatively slow disk access throughput. The Unix-like interface increases the ease of application portability, but conceals the underlying parallelism within the file system precluding any optimization of the I/O access pattern from different processes. Although recent multiprocessor file systems incorporate more sophisticated I/O interfaces, e.g. collective I/O interfaces, enabling the I/O access-pattern information to flow from an application program down to the data management system, they still lack flexibility and they do not enable application-specific codes to run on I/O nodes. Therefore application-specific processing operations cannot be directly executed where data resides. Moreover, with the conventional approach of developing parallel I/O- and compute- intensive applications on distributed memory architectures, programmers are faced with two different systems: a parallel file system for parallel I/O and a message passing system for parallel computation. This separation between storage and processing makes it difficult for application programmers to combine I/O and computation in an efficient manner, i.e. overlap I/O requests with computations.
Cite this paper
Thse, I. A., Messerli, V., Kotz, P. D., John, P., & Maddocks, H. (1998). Tools for Parallel I/O and Compute.
Thse, Intensive Applications, et al. “Tools for Parallel I/O and Compute.” 1998.
Thse, Intensive Applications, Vincent Messerli, Prof David Kotz, Prof John, and H. Maddocks. 1998. “Tools for Parallel I/O and Compute.”
Thse, I.A. et al. (1998) ‘Tools for Parallel I/O and Compute’.
@article{thse1998tools,
title = {{Tools for Parallel I/O and Compute}},
author = {Thse, Intensive Applications and Messerli, Vincent and Kotz, Prof David and John, Prof and Maddocks, H.},
year = {1998}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.