Title :

A comparative study of high-productivity high-performance programming languages for parallel metaheuristics

Author(s) :

Gmys, Jan [Auteur correspondant]
Faculté polytechnique de Mons
Université de Mons = University of Mons [UMONS]
Carneiro, Tiago [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Melab, Nouredine [Auteur]
Université de Lille
Optimisation de grande taille et calcul large échelle [BONUS]
Talbi, El-Ghazali [Auteur]
Université de Lille
Optimisation de grande taille et calcul large échelle [BONUS]
Tuyttens, Daniel [Auteur]
Faculté polytechnique de Mons
Université de Mons = University of Mons [UMONS]

Journal title :

Swarm and Evolutionary Computation

Publisher :

Elsevier

Publication date :

2020-06-09

ISSN :

2210-6502

English keyword(s) :

Metaheuristics
Parallel metaheuristics
High-productivity languages
Parallel computing

HAL domain(s) :

Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Informatique [cs]/Algorithme et structure de données [cs.DS]
Computer Science [cs]/Operations Research [math.OC]

English abstract : [en]

Parallel metaheuristics require programming languages that provide both, high performance and a high level of programmability. This paper aims at providing a useful data point to help practitioners gauge the difficult ...
Show more >Parallel metaheuristics require programming languages that provide both, high performance and a high level of programmability. This paper aims at providing a useful data point to help practitioners gauge the difficult question of whether to invest time and effort into learning and using a new programming language. To accomplish this objective, three productivity-aware languages (Chapel, Julia, and Python) are compared in terms of performance, scalability and productivity. To the best of our knowledge, this is the first time such a comparison is performed in the context of parallel metaheuristics. As a test-case, we implement two parallel metaheuristics in three languages for solving the 3D Quadratic Assignment Problem (Q3AP), using thread-based parallelism on a multi-core shared-memory computer. We also evaluate and compare the performance of the three languages for a parallel fitness evaluation loop, using four different test-functions with different computational characteristics. Besides providing a comparative study, we give feedback on the implementation and parallelization process in each language.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL