Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …

The first part of this paper surveys co-processor approaches for commodity based clusters in
general, not only with respect to raw performance, but also in view of their system integration …

Algebraic multigrid methods for large, sparse linear systems are a necessity in many
computational simulations, yet parallel algorithms for such solvers are generally …

Recently, graphics processing units (GPUs) have had great success in accelerating many
numerical computations. We present their application to computations on unstructured …

We present a highly efficient numerical solver for the Poisson equation on irregular
voxelized domains supporting an arbitrary mix of Neumann and Dirichlet boundary …

This paper presents the porting of 2D and 3D Navier–Stokes equations solvers for
unstructured grids, from the CPU to the graphics processing unit (GPU; NVIDIA's Ge-Force …

Page 1 - ºf Eijkhou Page 2 Introduction to High Performance Scientific Computing Victor Eijkhout
with Edmond Chow, Robert van de Geijn 2nd edition, revision 2015 Page 3 Introduction to …

We present an algorithm for general sparse matrix-matrix multiplication (SpGEMM) on many-
core architectures, such as GPUs. SpGEMM is implemented by iterative row merging, similar …

Развиваются методы ускорения сходимости итерационного процесса, основанные на
использовании геометрических и алгебраических многосеточных технологий …

This paper presents a Navier–Stokes solver for steady and unsteady turbulent flows on
unstructured/hybrid grids, with triangular and quadrilateral elements, which was …