The high intensity of research and modeling in fields of mathematics, physics, biology and
chemistry requires new computing resources. For the big computational complexity of such …

In this article we propose an evaluation of the three common algorithms for solving linear
system of equations: Gauss elimination, Gauss-Jordan without pivoting and Jacobi with …

Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular
programming model for general purpose computations on GPUs and a great number of …

We adapt the classic sequential model used to predict the performance of communications
on parallel computers to a local area network using PVM. We have discovered that the linear …

The speed-up obtained by the use of multiprocessor systems is of major importance for
numerical applications involving the solution of large dense systems of linear equations. We …

In this work we present a parallel algorithm for the solution of a least squares problem with
structured matrices. This problem arises in many applications mainly related to digital signal …

This paper concerns numerical computations in a new shared memory system architecture
oriented towards systems on chip technology. Dynamically reconfigurable processor …

This two-volume set LNCS 9573 and LNCS 9574 constitutes the refereed proceedings of the
11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015 …

One of the most fundamental tasks of an automatic parallelization tool is to find an optimal
domain decomposition for a given application. For regular domain problems (such as simple …

The most widely used parallel architectures in today's High Performance Computing
systems utilize multi-core CPUs, many-core GPUs or Intel's MIC (Many Integrated Core). The …