Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code

Christian, Hovy; Julian, Kunkel

doi:10.1109/se-hpccse.2016.005

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Parallel Unit Testing: pFUnit Automatic and flexible unit test generation for legacy HPC code is crucial [51].…”

Section: 7mentioning

confidence: 99%

BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems

Rusanovsky,

Harel,

Alon

et al. 2019

Preprint

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High-Performance Computing (HPC) platforms enable scientific software to achieve breakthroughs in many research fields such as physics, biology, and chemistry, by employing Research Software Engineering (RSE) techniques. These include 1) novel parallelism paradigms such as Shared Memory Parallelism (with e.g. OpenMP 4.5); Distributed Memory Parallelism (with e.g. MPI 4); Hybrid Parallelism which combines them; and Heterogeneous Parallelism (for CPUs, co-processors and accelerators), 2) introducing advanced Software Engineering concepts such as Object Oriented Parallel Programming (OOPP); Parallel Unit testing; Parallel I/O Formats; Hybrid Parallel Visualization; and 3) Selecting the Best Practices in other necessary areas such as User Interface; Automatic Documentation; Version Control and Project Management.In this work we present BACKUS : Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems, which we found to fit best for long-lived parallel scientific codes.

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“…Parallel Unit Testing: pFUnit Automatic and flexible unit test generation for legacy HPC code is crucial [51].…”

Section: 7mentioning

confidence: 99%

BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems

Rusanovsky,

Harel,

Alon

et al. 2019

Preprint

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“…Third, Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code by Christian Hovy and Julian Kunkel (full paper) addresses the difficulty developers of HPC applications face when trying to write unit tests by providing a "capture and replay" approach that extracts data from the running application to be used as test input data. The solution provides a code generator to create the basic test driver and test data, which can be extended by the developer [3]. Fourth, Towards an Empirical Study Design for Concurrent Software Testing by Silvana M. Melo, Paulo S. L. Souza and Simone R. S. Souza (extended abstract) describes the findings from a literature review about concurrent software testing techniques.…”

Section: Session 1: Testingmentioning

confidence: 99%

The 4th International Workshop on Software Engineering for HPC in Computational Science and Engineering

2017

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Despite the increasing demand for utilizing HPC for CSE applications, software development for HPC historically attracted little attention from the SE community. Paradoxically, the HPC CSE community has increasingly been adopting SE techniques and tools. Indeed, the development of CSE software for HPC differs significantly from the development of more traditional business inforåmation systems, from which many SE best practices and tools have been drawn. This workshop, the fourth in the series to be co-located with the Supercomputing conference series, examined two main topics: testing and trade-offs. Through presentations of work in this area and structured group discussions, the participants highlighted some of the key issues, as well as indicating the direction the community needed to go. In particular, there is a need for more high-quality research in this area that we can use as an evidence base to help developers of CSE applications to change practice and benefit from advances in software engineering.

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