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

Stefan Lemvig Glimberg (Author), Allan Peter Engsig-Karup (Author)

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

    208 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 p-multigrid solver of the Laplace equation, which appears as a computational bottleneck in applications in coastal and offshore engineering.
    Original languageEnglish
    Publication date2011
    Publication statusPublished - 2011
    Event2011 SIAM Conference on Analysis of Partial Differential Equations - San Diego, United States
    Duration: 14 Nov 201117 Nov 2011

    Conference

    Conference2011 SIAM Conference on Analysis of Partial Differential Equations
    Country/TerritoryUnited States
    CitySan Diego
    Period14/11/201117/11/2011

    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