The goal of High Performance Fortran (HPF) is to "address the problems of writing data parallel programs where the distribution of data affects performance", providing t...
Siegfried Benkner, Piyush Mehrotra, John Van Rosen...
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
For almost a decade we have been working at developing and using template-based models for coarse-grained parallel computing. Our initial system, FrameWorks, was positively receiv...
Abstract. With the fast development of multi-core processors, automatic parallelization becomes increasingly important. In this work, we focus on the parallelization of utility pro...
Parallel computing is notoriously challenging due to the difficulty in developing correct and efficient programs. With the arrival of multi-core processors for desktop systems, ...