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Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing
Integrating MPI-based numerical software into an advanced parallel computing environment
Genova, Italy
February 05-February 07
ISBN: 0-7695-1875-3
ASCII Text
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Pasqua D?Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna, "Integrating MPI-based numerical software into an advanced parallel computing environment," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 283, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003.
 
 
BibTex
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@article{ 10.1109/EMPDP.2003.1183601,
author = {Pasqua D?Ambra and Marco Danelutto and Daniela di Serafino and Marco Lapegna},
title = {Integrating MPI-based numerical software into an advanced parallel computing environment},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2003},
issn = {1066-6192},
pages = {283},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.2003.1183601},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - Integrating MPI-based numerical software into an advanced parallel computing environment
SN - 1066-6192
SP
EP
A1 - Pasqua D?Ambra,
A1 - Marco Danelutto,
A1 - Daniela di Serafino,
A1 - Marco Lapegna,
PY - 2003
KW - null
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
Pasqua D?Ambra, Institute for High-Performance Computing and Networking (ICAR)
Marco Danelutto, University of Pisa
Daniela di Serafino, Second University of Naples
Marco Lapegna, University of Naples "Federico II"
In this paper we present first experiences concerning the integration of MPI-based numerical software into an advanced programming environment for building parallel and distributed high-performance applications, which is under development in the context of Italian national research projects. Such programming environment, named ASSIST, is based on a combination of the concepts of structured parallel programming and component-based programming. Some activities within the projects are devoted to the definition, implementation and testing of a methodology for the integration of a parallel numerical library into ASSIST. The goal is providing a set of efficient, accurate and reliable tools that can be easily used as building blocks for high-performance scientific applications. We focus on the integration of existing and widely used MPI-based numerical library modules. To this aim, we propose a general approach to embed MPI computations into the ASSIST basic programming unit. This approach has been tested using the MPICH implementation of MPI for networks of workstations. Some modifications have been applied to the MPICH process startup procedure, in order to make it compliant with the ASSIST environment. Results of experiments concerning the integration of routines from a well-known FFT package are discussed.
Citation:
Pasqua D?Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna, "Integrating MPI-based numerical software into an advanced parallel computing environment," pdp, pp.283, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003
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