Parallelware Tools: An Experimental Evaluation on POWER Systems

Autor: Xavier Martorell, Manuel Arenaz
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
Jazyk: angličtina
Rok vydání: 2021
Předmět:
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
Zdroj: Lecture Notes in Computer Science
Lecture Notes in Computer Science-High Performance Computing
Lecture Notes in Computer Science ISBN: 9783030343552
ISC Workshops
High Performance Computing-ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 0302-9743
1611-3349
Popis: 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).
Databáze: OpenAIRE
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