Titre :

Fork/Join Parallelism in the Wild: Documenting Patterns and Anti-patterns in Java Programs Using the Fork/Join Framework

Auteur(s) :

de Wael, Mattias [Auteur]
Software Languages Lab [SLL]
Marr, Stefan [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
van Cutsem, Tom [Auteur]
Software Languages Lab [SLL]

Titre de la manifestation scientifique :

PPPJ'14, International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools

Ville :

Cracow

Pays :

Pologne

Date de début de la manifestation scientifique :

2014-09-23

Date de publication :

2014-09-23

Mot(s)-clé(s) en anglais :

Java
Fork/Join
empirical study
open source projects
patterns
anti-patterns

Discipline(s) HAL :

Informatique [cs]/Langage de programmation [cs.PL]

Résumé en anglais : [en]

Now that multicore processors are commonplace, developing parallel software has escaped the confines of high-performance computing and enters the mainstream. The Fork/Join framework, for instance, is part of the standard ...
Lire la suite >Now that multicore processors are commonplace, developing parallel software has escaped the confines of high-performance computing and enters the mainstream. The Fork/Join framework, for instance, is part of the standard Java platform since version 7. Fork/Join is a high-level parallel programming model advocated to make parallelizing recursive divide-and-conquer algorithms particularly easy. While, in theory, Fork/Join is a simple and effective technique to expose parallelism in applications, it has not been investigated before whether and how the technique is applied in practice. We therefore performed an empirical study on a corpus of 120 open source Java projects that use the framework for roughly 362 different tasks. On the one hand, we confirm the frequent use of four best-practice patterns (Sequential Cutoff, Linked Subtasks, Leaf Tasks, and avoiding unnecessary forking) in actual projects. On the other hand, we also discovered three recurring anti-patterns that potentially limit parallel performance: sub-optimal use of Java collections when splitting tasks into subtasks as well as when merging the results of subtasks, and finally the inappropriate sharing of resources between tasks. We document these anti-patterns and study their impact on performance.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL