A Fast Mixed-Precision Strategy for Iterative GPU-Based Solution of the Laplace Equation

Stefan Lemvig Glimberg (Author)

    Research output: Non-textual formSound/Visual production (digital)Research

    120 Downloads (Pure)

    Abstract

    Our work is concerned with the development of a generic high-performance library for scientific computing. The library is targeted for assembling flexible-order finite-difference solvers for PDEs. Our goal is to enable fast solution of large PDE systems, fully exploiting the massively parallel architecture of Graphics Processing Units. We will detail a strategy for an iterative mixed-precision defect correction method, with p-multigrid preconditioning. We present a case study of the fully nonlinear potential flow equations, in which the bottleneck problem is finding the solution of a Laplace equation. Such large scale simulations can be of great value in coastal and offshore engineering application.
    Original languageEnglish
    Publication date2011
    Publication statusPublished - 2011
    EventLANS Informal Seminar 2011 - Argonne, United States
    Duration: 29 Nov 201129 Nov 2011

    Seminar

    SeminarLANS Informal Seminar 2011
    Country/TerritoryUnited States
    CityArgonne
    Period29/11/201129/11/2011

    Fingerprint

    Dive into the research topics of 'A Fast Mixed-Precision Strategy for Iterative GPU-Based Solution of the Laplace Equation'. Together they form a unique fingerprint.

    Cite this