We 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
Abstract. Efficient methods for solving linear algebraic equations are crucial to creating fast and ...
DoctorComputational methods for GPU-accelerated solutions of incompressible and compressible Navier-...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
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...
Graphics processor units (GPUs) have started becoming an integral part of high performance computing...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
A two-dimensional water wave model based on potential flow is investigated with the intention of sim...
Graphics Processing Units (GPUs) have evolved over the years from being graphics accelerator to scal...
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...
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel comp...
Consider a set of points P in three dimensional euclidean space. For each point p, the neighbourhood...
Consider a set of points P in three dimensional euclidean space. Each point in P represents a\ud var...
Multigrid technique has been tried to solve the Full Potential Equation on an airfoil in Cartesian g...
Abstract. Efficient methods for solving linear algebraic equations are crucial to creating fast and ...
DoctorComputational methods for GPU-accelerated solutions of incompressible and compressible Navier-...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
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...
Graphics processor units (GPUs) have started becoming an integral part of high performance computing...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
A two-dimensional water wave model based on potential flow is investigated with the intention of sim...
Graphics Processing Units (GPUs) have evolved over the years from being graphics accelerator to scal...
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...
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel comp...
Consider a set of points P in three dimensional euclidean space. For each point p, the neighbourhood...
Consider a set of points P in three dimensional euclidean space. Each point in P represents a\ud var...
Multigrid technique has been tried to solve the Full Potential Equation on an airfoil in Cartesian g...
Abstract. Efficient methods for solving linear algebraic equations are crucial to creating fast and ...
DoctorComputational methods for GPU-accelerated solutions of incompressible and compressible Navier-...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...