Abstract: Many different numerical algorithms contain the solution of lin-ear equation systems as a subproblem. Because of these aspects, this work aims the development of solvers to linear systems (for dense and sparse matrices) with high accuracy on cluster computers using C-XSC library (a C++ class library for extended scientific computing with special characteristics for the develop-ment of algorithms with high accuracy and with interval arithmetic – see details about this library in [1]). The integration between C-XSC and MPI libraries on cluster computer was necessary and essential for the implementation of our al-gorithms in this kind of environment. We want to join the high accuracy given by C-XSC with the computational gain provide...
In solving engineering and scientific problems using numerical methods, we often rely on speciali...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
In this article, we describe in detail the setting up and implementation of the parallel computing c...
C-XSC is a powerful C++ class library which simplifies the development of selfverifying numerical so...
A parallel version of the self-verified method for solving linear systems was presented on PARA and ...
Parallel implementation of the dense linear algebra operations is a well understood process but the ...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facil...
Abstract—Partitioned Global Address Space (PGAS) languages offer programmers a shared memory view th...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
International audienceThe increasing complexity of new parallel architectures has widened the gap be...
The traditional solver for linear interval systems available in C-XSC [6,1] is mathematically based ...
As high performance Linux clusters enter mainstream supercomputing, it is impor-tant to understand h...
It is important to have a fast, robust and scalable algorithm to solve a sparse linear system AX=B. ...
In various spheres of activities, we often face the necessity to find the best or fastest way of sol...
In solving engineering and scientific problems using numerical methods, we often rely on speciali...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
In this article, we describe in detail the setting up and implementation of the parallel computing c...
C-XSC is a powerful C++ class library which simplifies the development of selfverifying numerical so...
A parallel version of the self-verified method for solving linear systems was presented on PARA and ...
Parallel implementation of the dense linear algebra operations is a well understood process but the ...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facil...
Abstract—Partitioned Global Address Space (PGAS) languages offer programmers a shared memory view th...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
International audienceThe increasing complexity of new parallel architectures has widened the gap be...
The traditional solver for linear interval systems available in C-XSC [6,1] is mathematically based ...
As high performance Linux clusters enter mainstream supercomputing, it is impor-tant to understand h...
It is important to have a fast, robust and scalable algorithm to solve a sparse linear system AX=B. ...
In various spheres of activities, we often face the necessity to find the best or fastest way of sol...
In solving engineering and scientific problems using numerical methods, we often rely on speciali...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
In this article, we describe in detail the setting up and implementation of the parallel computing c...