Search Results for author: Andreas Klöckner

Found 4 papers, 3 papers with code

Optimization of Fast Algorithms for Global Quadrature by Expansion Using Target-Specific Expansions

1 code implementation2 Nov 2018 Matt Wala, Andreas Klöckner

We develop an algorithm for the asymptotically fast evaluation of layer potentials close to and on the source geometry, combining Geometric Global Accelerated QBX (`GIGAQBX') and target-specific expansions.

Numerical Analysis Numerical Analysis

A Fast Algorithm for Quadrature by Expansion in Three Dimensions

1 code implementation16 May 2018 Matt Wala, Andreas Klöckner

This paper presents an accelerated quadrature scheme for the evaluation of layer potentials in three dimensions.

Numerical Analysis

A Fast Algorithm with Error Bounds for Quadrature by Expansion

no code implementations12 Jan 2018 Matt Wala, Andreas Klöckner

Quadrature by Expansion (QBX) is a quadrature method for approximating the value of the singular integrals encountered in the evaluation of layer potentials.

Numerical Analysis 65R20, 65N99, 65D30

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

2 code implementations18 Nov 2009 Andreas Klöckner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

In introducing PyCUDA and PyOpenCL, this article proposes the combination of a dynamic, high-level scripting language with the massive performance of a GPU as a compelling two-tiered computing platform, potentially offering significant performance and productivity advantages over conventional single-tier, static systems.

Distributed, Parallel, and Cluster Computing Software Engineering D.1.2

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