Easy Dataflow Programming in Clusters with UPC++ DepSpawn

The Partitioned Global Address Space (PGAS) programming model is one of the most relevant proposals to improve the ability of developers to exploit distributed memory systems. However, despite its important advantages with respect to the traditional message-passing paradigm, PGAS has not been yet wi...

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Vydáno v:IEEE transactions on parallel and distributed systems Ročník 30; číslo 6; s. 1267 - 1282
Hlavní autoři: Fraguela, Basilio B., Andrade, Diego
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Arrays
C++ languages
dataflow
Distributed memory
Electronics packaging
Interoperability
Languages
Libraries
Message passing
multithreading
parallel programming models
programmability
Programming
Proposals
Task analysis
ISSN:1045-9219, 1558-2183
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Shrnutí:The Partitioned Global Address Space (PGAS) programming model is one of the most relevant proposals to improve the ability of developers to exploit distributed memory systems. However, despite its important advantages with respect to the traditional message-passing paradigm, PGAS has not been yet widely adopted. We think that PGAS libraries are more promising than languages because they avoid the requirement to (re)write the applications using them, with the implied uncertainties related to portability and interoperability with the vast amount of APIs and libraries that exist for widespread languages. Nevertheless, the need to embed these libraries within a host language can limit their expressiveness and very useful features can be missing. This paper contributes to the advance of PGAS by enabling the simple development of arbitrarily complex task-parallel codes following a dataflow approach on top of the PGAS UPC++ library, implemented in C++. In addition, our proposal, called UPC++ DepSpawn, relies on an optimized multithreaded runtime that provides very competitive performance, as our experimental evaluation shows.
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2018.2884716