InforLorV4, Main, Merge, bibRecord, 009695

Scilab to Scilab//: The Ouragan project

Identifieur interne : 009695 ( Main/Merge ); précédent : 009694; suivant : 009696

Scilab to Scilab//: The Ouragan project

Auteurs : E. Caron [France] ; S. Chaumette [France] ; S. Contassot-Vivier [France] ; F. Desprez [France] ; E. Fleury [France] ; C. Gomez [France] ; M. Goursat [France] ; M. Quinson [France] ; E. Jeannot [France] ; D. Lazure [France] ; F. Lombard [France] ; J.-M Nicod [France] ; L. Philippe [France] ; P. Ramet [France] ; J. Roman [France] ; F. Rubi [France] ; S. Steer [France] ; F. Suter [France] ; G. Utard [France]

Source :

Parallel Computing [ 0167-8191 ] ; 2001.

RBID : ISTEX:502D67C0BE9A06B86045D04FC8A463A8EB749404

English descriptors

Teeft :
- Abstract data structure, Abstraction graph, Algebra, Algebra libraries, Algebra operations, Algorithm, Best performance, Caron, Cast operators, Common interface, Communication layers, Communication times, Complex matrix multiplication, Computation, Computation libraries, Computational, Computational servers, Computer science, Consecutive blocks, Data blocks, Data duplication, Data persistence, Data redistribution, Data structures, Default values, Direct solver, Dongarra, Dynamic data, Elsevier science, Expert users, Factorization, Fortran, Free orbs, Full matrix, Future work, Good performance, Grid, Grid forum, Group whitepaper, High performance, Implementation graph, Inria, Interactive, Interface, International conference, Irregular data structures, Lapack, Lecture notes, Linear equations, Location service, Mapping graph, Matrix, Matrix multiplication, Matrix multiplications, Matrix size, Memory capacity, Metacomputing, Metacomputing platform, Metacomputing services, Metacomputing session, Network weather service, Node, Numerical libraries, Operator overloading, Other server, Output objects, Parallel libraries, Parallel processing, Parallel programs, Performance evaluation, Physical memory limit, Plots performance, Problem description, Problem parameters, Processes duplication, Processing techniques, Processor, Programming models, Redistribution, Scalapack, Scalar matrix, Scheduling algorithm, Second approach, Server, Server systems, Several modes, Socket, Software, Solver, Sparse ldlt factorization, Static data, Static scheduling, Temporary matrices, Theoretical performance, Trading service, User, Virtual machine.

Abstract

Abstract: In this paper, we present the developments realized in the Ouragan project around the parallelization of a Matlab-like tool called Scilab. These developments use high-performance numerical libraries and different approaches based either on the duplication of Scilab processes or on computational servers. This tool, Scilab//, allows users to perform high-level operations on distributed matrices in a metacomputing environment. We also present performance results on different architectures.

Url:

DOI: 10.1016/S0167-8191(01)00101-6

Links toward previous steps (curation, corpus...)

to stream Istex, to step Corpus: 001282
to stream Istex, to step Curation: 001265
to stream Istex, to step Checkpoint: 001D15
to stream Hal, to step Corpus: 004402
to stream Hal, to step Curation: 004402
to stream Hal, to step Checkpoint: 005D38

Links to Exploration step

ISTEX:502D67C0BE9A06B86045D04FC8A463A8EB749404

Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: In this paper, we present the developments realized in the Ouragan project around the parallelization of a Matlab-like tool called Scilab. These developments use high-performance numerical libraries and different approaches based either on the duplication of Scilab processes or on computational servers. This tool, Scilab//, allows users to perform high-level operations on distributed matrices in a metacomputing environment. We also present performance results on different architectures.</div>
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<front><div type="abstract" xml:lang="en">In this paper, we present the developments realized in the "Ouragan" project around the parallelization of a "Matlab"-like tool called "SCILAB". These developments use high-performance numerical libraries and different approaches based either on the duplication of "SCILAB" processes or on computational servers. This tool, "SCILAB", allows users to perform high-level operations on distributed matrices in a metacomputing environment. We also present performance results on different architectures.</div>
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<front><div type="abstract" xml:lang="en">Abstract: In this paper, we present the developments realized in the Ouragan project around the parallelization of a Matlab-like tool called Scilab. These developments use high-performance numerical libraries and different approaches based either on the duplication of Scilab processes or on computational servers. This tool, Scilab//, allows users to perform high-level operations on distributed matrices in a metacomputing environment. We also present performance results on different architectures.</div>
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   |area=    InforLorV4
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     ISTEX:502D67C0BE9A06B86045D04FC8A463A8EB749404
   |texte=   Scilab to Scilab//: The Ouragan project
}}

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Data generation: Mon Jun 10 21:56:28 2019. Site generation: Fri Feb 25 15:29:27 2022

	Serveur d'exploration sur la recherche en informatique en Lorraine
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la recherche en informatique en Lorraine

Scilab to Scilab//: The Ouragan project

Scilab to Scilab//: The Ouragan project

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