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Hardware-Based Efficiency Advances in the EXA-DUNE Project Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Tool Support for Developing DASH Applications

Authors : Denis Hünich, Andreas Knüpfer, Sebastian Oeste, Karl Fürlinger, Tobias Fuchs

Published in: Software for Exascale Computing - SPPEXA 2013-2015

Publisher: Springer International Publishing

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Abstract

DASH is a new parallel programming model for HPC which is implemented as a C++ template library on top of a runtime library implementing various PGAS (Partitioned Global Address Space) substrates. DASH’s goal is to be an easy to use and efficient way to parallel programming with C++. Supporting software tools is an important part of the DASH project, especially debugging and performance monitoring. Debugging is particularly necessary when adopting a new parallelization model, while performance assessment is crucial in High Performance Computing applications by nature. Tools are fundamental for a programming ecosystem and we are convinced that providing tools early brings multiple advantages, benefiting application developers using DASH as well as developers of the DASH library itself. This work, first briefly introduces DASH and the underlying runtime system, existing debugger and performance analysis tools. We then demonstrate the specific debugging and performance monitoring extensions for DASH in exemplary use cases and discuss an early assessment of the results.

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previous chapter Expressing and Exploiting Multi-Dimensional Locality in DASH
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Footnotes
1
IDE—Integrated Development Environment.
 
3
STL—Standard Template Library.
 
4
The unification process of Score-P was not included in the runtime measurements.
 
5
C++ specifier for a constant expression.
 
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Metadata
Title
Tool Support for Developing DASH Applications
Authors
Denis Hünich
Andreas Knüpfer
Sebastian Oeste
Karl Fürlinger
Tobias Fuchs
Copyright Year
2016
Book
Software for Exascale Computing - SPPEXA 2013-2015

Print ISBN: 978-3-319-40526-1

Electronic ISBN: 978-3-319-40528-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-40528-5_16

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