Harnessing GPU Power from High-Level Libraries: Eigenvalues of Integral Operators with SLEPc

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

José E. Roman (Author) Other; Paulo Vasconcelos (Author) FEP

Conference proceedings International

Title: Proceedings of the International Conference on Computational Science, ICCS 2013, Barcelona, Spain, 5-7 June, 2013

Pages: 2591-2594

Indexing

ISI Web of Knowledge - 2 Citations

ISI Web of Science

Scopus - 2 Citations

Scientific classification

FOS: Natural sciences > Mathematics

Other information

Authenticus ID: P-009-5ST

DOI: 10.1016/j.procs.2013.05.447

Abstract (EN): We consider the approximation of eigenpairs of large-scale matrices arising from the discretization of integral operators with weakly singular function kernels. Efficient and fast solvers to numerically approximate the sought eigenpairs are required. For this, we would like to exploit the computational power of modern graphical processing units (GPUs), and we are interested in doing this from high-level libraries. We show how to use the CUDA add-on in the SLEPc/PETSc libraries to tackle this problem and illustrate our results on a radiative transfer problem in astrophysics. The CUDA-accelerated codes achieve considerable speedups versus the CPU counterparts on the same problem.

Language: English

Type (Professor's evaluation): Scientific