Technical Reports

A List by Author: Tomá¹ Lamr

e-mail:

xlamr(a)fi.muni.cz

CUDA accelerated LTL Model Checking

by Jiøí Barnat, Lubo¹ Brim, Milan Èe¹ka, Tomá¹ Lamr, June 2009, 18 pages.

FIMU-RS-2009-05. Available as Postscript, PDF.

Abstract:

Recent technological developments made available various many-core hardware platforms. For example, a SIMD-like hardware architecture became easily accessible for many users who have their computers equipped with modern NVIDIA GPU cards with CUDA technology. In this paper we redesign the maximal accepting predecessors algorithm [7] for LTL model checking in terms of matrix-vector product in order to accelerate LTL model checking on many-core GPU platforms. Our experiments demonstrate that using the NVIDIA CUDA technology results in a significant computation speedup.