Parker and Lê introduced random butterfly transforms (RBTs) as a preprocessing technique
to replace pivoting in dense LU factorization. Unfortunately, their FFT-like recursive structure …

Sparse Triangular Solve (SpTRSV) is an important and extensively used kernel in scientific
computing. Parallelism within SpTRSV depends upon matrix sparsity pattern and, in many …

Sparse triangular solve (SpTRSV) is an important linear algebra kernel, finding extensive
uses in numerical and scientific computing. The parallel implementation of SpTRSV is a …

The effect of two soft fault error models on the convergence of the parallel flexible GMRES
(FGMRES) iterative method solving an elliptical PDE problem on a regular grid is evaluated …

Asynchronous iterative methods present a mechanism to improve the performance of
parallel algorithms for highly parallel computational platforms by removing the overhead …

Large scale simulations are used in a variety of application areas in science and
engineering to help forward the progress of innovation. Many spend the vast majority of their …

This paper presents a parallelized iterative solver for large sparse linear systems
implemented on a heterogeneous platform. Traditionally, these problems do not scale well …

The article presents a parallel iterative solver for large sparse linear systems which can be
used on a heterogeneous platform. Traditionally, the problem of solving linear systems do …

This volume presents selected papers from the 13th International Conference “Mesh
Methods for Boundary-Value Problems and Applications” that was held in Kazan, Russia …

The article presents a parallel iterative solver for large sparse linear systems which can be
used on a heterogeneous platform. Traditionally, the problem of solving linear systems does …