IEICE TRANSACTIONS on Information
Parallel Molecular Dynamics in a Parallelizing SML Compiler
Summary :
We have constructed a parallelizing compiler for Standard ML (SML) based upon algorithmic skeletons. We present an implementation of a Parallel Molecular Dynamics (PMD) simulation in order to compare our functional approach with a traditional imperative approach. Although we present performance data, the principal benefits from our approach are in the modularity of the code and the ease of programming. Extant FORTRAN90 code for an O(N 2) algorithm is translated, firstly into imperative SML and then into purely functional SML which is then parallelized. The ease of programming and the performance of the FORTRAN90 and SML code are compared. Modest parallel performance is obtained from the parallel SML but with a much slower sequential execution time compared to the FORTRAN90. We then improve the implementation with a ring topology implementation which gives much closer performance to the FORTRAN90 implementation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E86-D No.9 pp.1569-1576
- Publication Date
- 2003/09/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Parallel and Distributed Computing, Applications and Technologies)
- Category
- Software Systems and Technologies
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Norman SCAIFE, Ryoko HAYASHI, Susumu HORIGUCHI, "Parallel Molecular Dynamics in a Parallelizing SML Compiler" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 9, pp. 1569-1576, September 2003, doi: .
Abstract: We have constructed a parallelizing compiler for Standard ML (SML) based upon algorithmic skeletons. We present an implementation of a Parallel Molecular Dynamics (PMD) simulation in order to compare our functional approach with a traditional imperative approach. Although we present performance data, the principal benefits from our approach are in the modularity of the code and the ease of programming. Extant FORTRAN90 code for an O(N 2) algorithm is translated, firstly into imperative SML and then into purely functional SML which is then parallelized. The ease of programming and the performance of the FORTRAN90 and SML code are compared. Modest parallel performance is obtained from the parallel SML but with a much slower sequential execution time compared to the FORTRAN90. We then improve the implementation with a ring topology implementation which gives much closer performance to the FORTRAN90 implementation.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_9_1569/_p
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@ARTICLE{e86-d_9_1569,
author={Norman SCAIFE, Ryoko HAYASHI, Susumu HORIGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={Parallel Molecular Dynamics in a Parallelizing SML Compiler},
year={2003},
volume={E86-D},
number={9},
pages={1569-1576},
abstract={We have constructed a parallelizing compiler for Standard ML (SML) based upon algorithmic skeletons. We present an implementation of a Parallel Molecular Dynamics (PMD) simulation in order to compare our functional approach with a traditional imperative approach. Although we present performance data, the principal benefits from our approach are in the modularity of the code and the ease of programming. Extant FORTRAN90 code for an O(N 2) algorithm is translated, firstly into imperative SML and then into purely functional SML which is then parallelized. The ease of programming and the performance of the FORTRAN90 and SML code are compared. Modest parallel performance is obtained from the parallel SML but with a much slower sequential execution time compared to the FORTRAN90. We then improve the implementation with a ring topology implementation which gives much closer performance to the FORTRAN90 implementation.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Parallel Molecular Dynamics in a Parallelizing SML Compiler
T2 - IEICE TRANSACTIONS on Information
SP - 1569
EP - 1576
AU - Norman SCAIFE
AU - Ryoko HAYASHI
AU - Susumu HORIGUCHI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2003
AB - We have constructed a parallelizing compiler for Standard ML (SML) based upon algorithmic skeletons. We present an implementation of a Parallel Molecular Dynamics (PMD) simulation in order to compare our functional approach with a traditional imperative approach. Although we present performance data, the principal benefits from our approach are in the modularity of the code and the ease of programming. Extant FORTRAN90 code for an O(N 2) algorithm is translated, firstly into imperative SML and then into purely functional SML which is then parallelized. The ease of programming and the performance of the FORTRAN90 and SML code are compared. Modest parallel performance is obtained from the parallel SML but with a much slower sequential execution time compared to the FORTRAN90. We then improve the implementation with a ring topology implementation which gives much closer performance to the FORTRAN90 implementation.
ER -
English
