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An efficient multi-algorithms sparse linear solver for GPUs

Identifieur interne : 003425 ( Main/Exploration ); précédent : 003424; suivant : 003426

An efficient multi-algorithms sparse linear solver for GPUs

Auteurs : Thomas Jost [France] ; Sylvain Contassot-Vivier [France] ; Stéphane Vialle [France]

Source :

RBID : Hal:inria-00430520

English descriptors

Abstract

We present a new sparse linear solver for GPUs. It is designed to work with structured sparse matrices where all the non-zeros are on a few diagonals. Several iterative algorithms are implemented, both on CPU and GPU. The GPU code is designed to be fast yet simple to read and understand. It aims to be as accurate as possible, even on chips that do not support double-precision floating-point arithmetic. Several benchmarks show that GPU algorithms are much faster than their CPU counterpart while their accuracy is satisfying.

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Le document en format XML

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<orgName>Institut National Polytechnique de Lorraine</orgName>
<orgName type="acronym">INPL</orgName>
<date type="end">2011-12-31</date>
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<orgName>INRIA Lorraine</orgName>
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<address>
<addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine>
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</address>
<ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref>
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<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
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<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
<author>
<name sortKey="Vialle, Stephane" sort="Vialle, Stephane" uniqKey="Vialle S" first="Stéphane" last="Vialle">Stéphane Vialle</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-26305" status="VALID">
<orgName>SUPELEC-Campus Metz</orgName>
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<addrLine>2 rue Edouard Belin 57070 Metz</addrLine>
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<ref type="url">http://www.metz.supelec.fr/metz/</ref>
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<term>GPU Computing</term>
<term>Parallelism</term>
<term>Sparse Linear Solver</term>
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<div type="abstract" xml:lang="en">We present a new sparse linear solver for GPUs. It is designed to work with structured sparse matrices where all the non-zeros are on a few diagonals. Several iterative algorithms are implemented, both on CPU and GPU. The GPU code is designed to be fast yet simple to read and understand. It aims to be as accurate as possible, even on chips that do not support double-precision floating-point arithmetic. Several benchmarks show that GPU algorithms are much faster than their CPU counterpart while their accuracy is satisfying.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Nancy</li>
</settlement>
<orgName>
<li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
</orgName>
</list>
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<country name="France">
<region name="Grand Est">
<name sortKey="Jost, Thomas" sort="Jost, Thomas" uniqKey="Jost T" first="Thomas" last="Jost">Thomas Jost</name>
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<name sortKey="Contassot Vivier, Sylvain" sort="Contassot Vivier, Sylvain" uniqKey="Contassot Vivier S" first="Sylvain" last="Contassot-Vivier">Sylvain Contassot-Vivier</name>
<name sortKey="Vialle, Stephane" sort="Vialle, Stephane" uniqKey="Vialle S" first="Stéphane" last="Vialle">Stéphane Vialle</name>
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