Language Features for Scalable Distributed-Memory Dataflow Computing

Author

Wozniak, Justin M. ; Wilde, Michael ; Foster, Ian T.

Author_Institution

Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA

fYear

2014

Firstpage

50

Lastpage

53

Abstract

Dataflow languages offer a natural means to express concurrency but are not a natural representation of the architectural features of high-performance, distributed-memory computers. When used as the outermost language in a hierarchical programming model, dataflow is very effective at expressing the overall flow of a computation. In this work, we present strategies and techniques used by the Swift dataflow language to obtain good performance on extremely large computing systems. We also present multiple unique language features that offer practical utility and performance enhancements.

Keywords

concurrency control; data flow computing; distributed memory systems; parallel programming; software architecture; Swift dataflow language; architectural features; concurrency; dataflow languages; distributed-memory computer; hierarchical programming model; high-performance computer; language features; performance enhancements; scalable distributed-memory dataflow computing; Computational modeling; Concurrent computing; Libraries; Programming; Runtime; Syntactics; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Data-Flow Execution Models for Extreme Scale Computing (DFM), 2014 Fourth Workshop on

Type

conf

DOI

10.1109/DFM.2014.17

Filename

7089030