2013Unpublished venueRequires access

Iterative Krylov Methods for Gravity Problems on Graphics Processing Unit

Abal‐Kassim Cheik Ahamed, Frédéric Magoulès

Open publisher page 16 citations

Abstract

This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.

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What this paper is about

This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.

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OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.

Key concepts: Graphics processing unit, Robustness (evolution), Graphics, Computer science, Iterative method, Computational science, Applied mathematics, Algorithm

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