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Title: Exploring the Performance Potential of Chapel in Scientific Computations

Abstract

Languages are being designed that simplify the tasks of creating, extending, and maintaining scientific application specifically for use on parallel computing architectures. Widespread adoption of any language by the high performance computing (HPC) community is strongly dependent upon achieved performance of applications. A common presumption is that performance is adversely affected as the level of abstraction increases. In this paper we report on our investigations into the potential of one such language, Chapel, to deliver performance while adhering to its code development and maintenance goals. In particular, we explore how the unconstrained memory model presented by Chapel may be exploited by the compiler and runtime system in order to efficiently execute computations common to numerous scientific application programs. Experiments, executed on a Cray X1E, AMD dual-core, and Intel quad- core processor based systems, reveal that with the appropriate architecture and runtime support, the Chapel model can achieve performance equal to the best Fortran/MPI, Co-Array Fortran, and OpenMP implementations, while substantially easing the burden on the application code developer.

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1253232
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Cray USer Group 2008, Helsinki, Finland, 20080505, 20080508
Country of Publication:
United States
Language:
English

Citation Formats

Barrett, Richard F, Alam, Sadaf R, and Poole, Stephen W. Exploring the Performance Potential of Chapel in Scientific Computations. United States: N. p., 2008. Web.
Barrett, Richard F, Alam, Sadaf R, & Poole, Stephen W. Exploring the Performance Potential of Chapel in Scientific Computations. United States.
Barrett, Richard F, Alam, Sadaf R, and Poole, Stephen W. Tue . "Exploring the Performance Potential of Chapel in Scientific Computations". United States.
@article{osti_1253232,
title = {Exploring the Performance Potential of Chapel in Scientific Computations},
author = {Barrett, Richard F and Alam, Sadaf R and Poole, Stephen W},
abstractNote = {Languages are being designed that simplify the tasks of creating, extending, and maintaining scientific application specifically for use on parallel computing architectures. Widespread adoption of any language by the high performance computing (HPC) community is strongly dependent upon achieved performance of applications. A common presumption is that performance is adversely affected as the level of abstraction increases. In this paper we report on our investigations into the potential of one such language, Chapel, to deliver performance while adhering to its code development and maintenance goals. In particular, we explore how the unconstrained memory model presented by Chapel may be exploited by the compiler and runtime system in order to efficiently execute computations common to numerous scientific application programs. Experiments, executed on a Cray X1E, AMD dual-core, and Intel quad- core processor based systems, reveal that with the appropriate architecture and runtime support, the Chapel model can achieve performance equal to the best Fortran/MPI, Co-Array Fortran, and OpenMP implementations, while substantially easing the burden on the application code developer.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {1}
}

Conference:
Other availability
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