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3 results on '"Quality assurance and testing"'

1. Parallelware Tools: An Experimental Evaluation on POWER Systems

Author

Arenaz, Manuel, Martorell, Xavier, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Weiland, Michèle, editor, Juckeland, Guido, editor, Alam, Sadaf, editor, and Jagode, Heike, editor

Published
2019
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2. Parallelware Tools: An Experimental Evaluation on POWER Systems

Author

Xavier Martorell, Manuel Arenaz, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, and Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions

Subjects
FOS: Computer and information sciences, Exploit, Computer science, Concurrency, Informàtica::Enginyeria del software [Àrees temàtiques de la UPC], Parallel programming (Computer science), Static code analysis, POWER systems, Static program analysis, Computer software -- Quality control, Programari -- Control de qualitat, 010103 numerical & computational mathematics, Programació en paral·lel (Informàtica), 01 natural sciences, Concurrency and parallelism, Software development process, Software, 0101 mathematics, Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC], Tasking, business.industry, Software architecture, Parallelware tools, Detection of software defects, OpenMP, 010101 applied mathematics, Computer Science - Distributed, Parallel, and Cluster Computing, Systems development life cycle, Programari -- Disseny, Distributed, Parallel, and Cluster Computing (cs.DC), Quality assurance and testing, Software engineering, business
Abstract

Static code analysis tools are designed to aid software developers to build better quality software in less time, by detecting defects early in the software development life cycle. Even the most experienced developer regularly introduces coding defects. Identifying, mitigating and resolving defects is an essential part of the software development process, but frequently defects can go undetected. One defect can lead to a minor malfunction or cause serious security and safety issues. This is magnified in the development of the complex parallel software required to exploit modern heterogeneous multicore hardware. Thus, there is an urgent need for new static code analysis tools to help in building better concurrent and parallel software. The paper reports preliminary results about the use of Appentra’s Parallelware technology to address this problem from the following three perspectives: finding concurrency issues in the code, discovering new opportunities for parallelization in the code, and generating parallel-equivalent codes that enable tasks to run faster. The paper also presents experimental results using well-known scientific codes and POWER systems. This work has been partly funded from the Spanish Ministry of Science and Technology (TIN2015-65316-P), the Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya (MPEXPAR: Models de Programació i Entorns d’Execució Parallels, 2014-SGR-1051), and the European Union’s Horizon 2020 research and innovation program throughgrant agreements MAESTRO (801101) and EPEEC (801051).

Published
2021

3. Parallelware tools: an experimental evaluation on POWER systems

Author

Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions, Arenaz Silva, Manuel, Martorell Bofill, Xavier, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions, Arenaz Silva, Manuel, and Martorell Bofill, Xavier

Abstract

Static code analysis tools are designed to aid software developers to build better quality software in less time, by detecting defects early in the software development life cycle. Even the most experienced developer regularly introduces coding defects. Identifying, mitigating and resolving defects is an essential part of the software development process, but frequently defects can go undetected. One defect can lead to a minor malfunction or cause serious security and safety issues. This is magnified in the development of the complex parallel software required to exploit modern heterogeneous multicore hardware. Thus, there is an urgent need for new static code analysis tools to help in building better concurrent and parallel software. The paper reports preliminary results about the use of Appentra’s Parallelware technology to address this problem from the following three perspectives: finding concurrency issues in the code, discovering new opportunities for parallelization in the code, and generating parallel-equivalent codes that enable tasks to run faster. The paper also presents experimental results using well-known scientific codes and POWER systems., This work has been partly funded from the Spanish Ministry of Science and Technology (TIN2015-65316-P), the Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya (MPEXPAR: Models de Programació i Entorns d’Execució Parallels, 2014-SGR-1051), and the European Union’s Horizon 2020 research and innovation program throughgrant agreements MAESTRO (801101) and EPEEC (801051)., Peer Reviewed, Postprint (author's final draft)

Published
2019

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