V-cal is a calculus designed to support the compilation of data parallel languages that allows to describe program transformations and optimizations as semantics preserving rewrite...
P. F. G. Dechering, J. A. Trescher, J. P. M. de Vr...
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Abstract. Lock-free shared data structures in the setting of distributed computing have received a fair amount of attention. Major motivations of lock-free data structures include ...
—Parallel programming techniques have become one of the great challenges in the transition from single-core to multicore architectures. In this paper, we investigate the parallel...
This study1 explores the applicability of fully automatic parallelizing techniques for parallel computers. In this study, we capitalize on a variety of traditional compiling techn...