期刊
PARALLEL COMPUTING
卷 37, 期 9, 页码 633-652出版社
ELSEVIER
DOI: 10.1016/j.parco.2011.05.005
关键词
Swift; Parallel programming; Scripting; Dataflow
资金
- NSF [OCI-721939, OCI-0944332]
- US Department of Energy [DE-AC02-06CH11357]
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [0944332] Funding Source: National Science Foundation
Scientists, engineers, and statisticians must execute domain-specific application programs many times on large collections of file-based data. This activity requires complex orchestration and data management as data is passed to, from, and among application invocations. Distributed and parallel computing resources can accelerate such processing, but their use further increases programming complexity. The Swift parallel scripting language reduces these complexities by making file system structures accessible via language constructs and by allowing ordinary application programs to be composed into powerful parallel scripts that can efficiently utilize parallel and distributed resources. We present Swift's implicitly parallel and deterministic programming model, which applies external applications to file collections using a functional style that abstracts and simplifies distributed parallel execution. (C) 2011 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据