Add to ORKGWe present modification of algebraic multigrid algorithm for effective GPGPU-based solution of nonstationary hydrodynamics problems. The modification is easy to implement and allows us to reduce number of times when the multigrid setup is performed, thus saving up to 50% of computation time with respect to unmodified algorithm. © 2012 Elsevier B.V
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
In this article, we review the development of multigrid methods for partial differential equations o...
Aims. We describe and study a family of new multigrid iterative solvers for the multidimensional, im...
We present modification of algebraic multigrid algorithm for effective GPGPU-based solution of nonst...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
A serious bottleneck in performing large-scale numerical simulations is the speed with which the und...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
A primary challenge for a new generation of reservoir simulators is the accurate description of mult...
Consider a set of points P in three dimensional euclidean space. Each point in P represents a\ud var...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
Graphics Processing Units (GPUs) have evolved over the years from being graphics accelerator to scal...
Algebraic multigrid (AMG) methods for directly solving coupled systems of partial differential equat...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
In this article, we review the development of multigrid methods for partial differential equations o...
Aims. We describe and study a family of new multigrid iterative solvers for the multidimensional, im...
We present modification of algebraic multigrid algorithm for effective GPGPU-based solution of nonst...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
A serious bottleneck in performing large-scale numerical simulations is the speed with which the und...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
A primary challenge for a new generation of reservoir simulators is the accurate description of mult...
Consider a set of points P in three dimensional euclidean space. Each point in P represents a\ud var...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
Graphics Processing Units (GPUs) have evolved over the years from being graphics accelerator to scal...
Algebraic multigrid (AMG) methods for directly solving coupled systems of partial differential equat...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
In this article, we review the development of multigrid methods for partial differential equations o...
Aims. We describe and study a family of new multigrid iterative solvers for the multidimensional, im...