International audienceWe present a new sparse linear solver for GPUs. It is designed to work with structured sparse matrices where all the non-zeros are on a few diagonals. Several iterative algorithms are implemented, both on CPU and GPU. The GPU code is designed to be fast yet simple to read and understand. It aims to be as accurate as possible, even on chips that do not support double-precision floating-point arithmetic. Several benchmarks show that GPU algorithms are much faster than their CPU counterpart while their accuracy is satisfying
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
For many finite element problems, when represented as sparse matrices, iterative solvers are found t...
Sparse matrix computations are ubiquitous in scientific computing; General-Purpose computing on Grap...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
Abstract. We present a new sparse linear solver for GPUs. It is designed to work with structured spa...
Extended version of EuroGPU symposium article, in the International Conference on Parallel Computing...
Extended version of EuroGPU symposium article, in the International Conference on Parallel Computing...
The original publication is available at www.springerlink.comInternational audienceA wide class of g...
to appearInternational audienceA wide class of numerical methods needs to solve a linear system, whe...
Abstract. Linear systems are required to solve in many scientific applications and the solution of t...
Abstract. The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In th...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
For many finite element problems, when represented as sparse matrices, iterative solvers are found t...
Sparse matrix computations are ubiquitous in scientific computing; General-Purpose computing on Grap...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
International audienceWe present a new sparse linear solver for GPUs. It is designed to work with st...
Abstract. We present a new sparse linear solver for GPUs. It is designed to work with structured spa...
Extended version of EuroGPU symposium article, in the International Conference on Parallel Computing...
Extended version of EuroGPU symposium article, in the International Conference on Parallel Computing...
The original publication is available at www.springerlink.comInternational audienceA wide class of g...
to appearInternational audienceA wide class of numerical methods needs to solve a linear system, whe...
Abstract. Linear systems are required to solve in many scientific applications and the solution of t...
Abstract. The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In th...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
For many finite element problems, when represented as sparse matrices, iterative solvers are found t...
Sparse matrix computations are ubiquitous in scientific computing; General-Purpose computing on Grap...