Parallelware tools: an experimental evaluation on POWER systems
Visualitza/Obre
10.1007/978-3-030-34356-9_27
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/340682
Tipus de documentText en actes de congrés
Data publicació2019
EditorSpringer
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
ProjecteCOMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
EPEEC - European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EPEEC) (EC-H2020-801051)
EPEEC - European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EPEEC) (EC-H2020-801051)
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.
CitacióArenaz, M.; Martorell, X. Parallelware tools: an experimental evaluation on POWER systems. A: International Conference on High Performance Computing. "High Performance Computing, ISC High Performance 2019 International Workshops: Frankfurt, Germany, June 16-20, 2019: revised selected papers". Berlín: Springer, 2019, p. 352-360. ISBN 978-3-030-34356-9. DOI 10.1007/978-3-030-34356-9_27.
ISBN978-3-030-34356-9
Versió de l'editorhttps://link.springer.com/chapter/10.1007/978-3-030-34356-9_27
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Arenaz_Martorell.pdf | 136,8Kb | Visualitza/Obre |