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A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments
HELBECQUE, Guillaume; GMYS, Jan; CARNEIRO PESSOA, Tiago et al.
2022In PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores
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Keywords :
Chapel; Parallel computing; Productivity-awareness
Abstract :
[en] The increase in complexity, diversity and scale of high performance computing environments, as well as the increasing sophistication of parallel applications and algorithms call for productivity-aware programming languages for high-performance computing. Among them, the Chapel programming language stands out as one of the more successful approaches based on the Partitioned Global Address Space programming model. Although Chapel is designed for productive parallel computing at scale, the question of its competitiveness with well-established conventional parallel programming environments arises. To this end, this work compares the performance of Chapel-based fractal generation on shared- and distributed-memory platforms with corresponding OpenMP and MPI+X implementations. The parallel computation of the Mandelbrot set is chosen as a test-case for its high degree of parallelism and its irregular workload. Experiments are performed on a cluster composed of 192 cores using the French national testbed Grid'5000. Chapel as well as its default tasking layer demonstrate high performance in shared-memory context, while Chapel competes with hybrid MPI+OpenMP in distributed-memory environment.
Disciplines :
Computer science
Author, co-author :
HELBECQUE, Guillaume ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG ; Université de Lille, CNRS/CRIStAL UMR 9189, Centre Inria de l’Université de Lille, France
GMYS, Jan;  Université de Lille, CNRS/CRIStAL UMR 9189, Centre Inria de l’Université de Lille, France
CARNEIRO PESSOA, Tiago ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Pascal BOUVRY
MELAB, Nouredine;  Université de Lille, CNRS/CRIStAL UMR 9189, Centre Inria de l’Université de Lille, France
BOUVRY, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments
Publication date :
18 April 2022
Event name :
13th International Workshop on Programming Models and Applications for Multicores and Manycores
Event place :
Seoul, South Korea
Event date :
from 02-04-2022 to 06-04-2022
Audience :
International
Main work title :
PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores
Publisher :
Association for Computing Machinery, New York, United States
ISBN/EAN :
978-1-4503-9339-3
Pages :
21-29
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 25 May 2023

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