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Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Milewicz, Reed M.; Pirkelbauer, Peter; Soundararajan, Prema; Ahmed, Hadia; Skjellum, Tony

A source-to-source compiler is a type of translator that accepts the source code of a program written in a programming language as its input and produces an equivalent source code in the same or different programming language. S2S techniques are commonly used to enable fluent translation between high-level programming languages, to perform large-scale refactoring operations, and to facilitate instrumentation for dynamic analysis. Negative perceptions about S2S’s applicability in High Performance Computing (HPC) are studied and evaluated here. This is a first study that brings to light reasons why scientists do not use source-to-source techniques for HPC. The primary audience for this paper are those considering S2S technology in their HPC application work.

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Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP)

Communications in Computer and Information Science

Milewicz, Reed M.; Heroux, Michael A.; Gonsiorowski, Elsa; Gupta, Rinku; Moulton, J.D.; Watson, Gregory R.; Willenbring, James M.; Zamora, Richard J.; Raybourn, Elaine M.

Productivity and Sustainability Improvement Planning (PSIP) is a lightweight, iterative workflow that allows software development teams to identify development bottlenecks and track progress to overcome them. In this paper, we present an overview of PSIP and how it compares to other software process improvement (SPI) methodologies, and provide two case studies that describe how the use of PSIP led to successful improvements in team effectiveness and efficiency.

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Position paper: Towards usability as a first-class quality of HPC scientific software

Proceedings - 2019 IEEE/ACM 14th International Workshop on Software Engineering for Science, SE4Science 2019

Milewicz, Reed M.; Rodeghero, Paige

The modern HPC scientific software ecosystem is instrumental to the practice of science. However, software can only fulfill that role if it is readily usable. In this position paper, we discuss usability in the context of scientific software development, how usability engineering can be incorporated into current practice, and how software engineering research can help satisfy that objective.

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Results 26–50 of 57
Results 26–50 of 57