International audienceOn modern parallel architectures, floating-point computations may become non-deterministic and, therefore, non-reproducible mainly due to non-associativity of floating-point operations. We propose an algorithm to solve dense triangular systems by leveraging the standard parallel triangular solver and our, recently introduced, multi-level exact summation approach. Finally, we present implementations of the proposed fast repro-ducible triangular solver and results on recent NVIDIA GPUs
We consider solving triangular systems of linear equations on a hypercube multiprocessor. Specifica...
Solving triangular systems is the building block for preconditioned GMRES algorithm. Inexact precond...
International audienceWe present a new parallel algorithm to compute an exact triangularization of l...
On modern parallel architectures, floating-point computations may become non-deterministic and, ther...
International audience-point computations are not deterministic on parallel environments.Therefore, ...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
We consider the problem of computing a scaling α such that the solution x of the scaled linear syste...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
On modern multi-core, many-core, and heterogeneous architectures, floating-point computations, espec...
National audienceOn modern multi-core, many-core, and heterogeneous architectures, floating-point co...
Several parallel algorithms have been proposed for the solution of triangular systems. The stability...
Efficient triangular solvers for use on message passing multiprocessors are required, in several co...
The modern GPUs are well suited for intensive computational tasks and massive parallel computation. ...
Triangular linear systems are fundamental in numerical linear algebra. A triangular linear system ha...
Solving a system of equations of the form Tx = y, where T is a sparse triangular matrix, is require...
We consider solving triangular systems of linear equations on a hypercube multiprocessor. Specifica...
Solving triangular systems is the building block for preconditioned GMRES algorithm. Inexact precond...
International audienceWe present a new parallel algorithm to compute an exact triangularization of l...
On modern parallel architectures, floating-point computations may become non-deterministic and, ther...
International audience-point computations are not deterministic on parallel environments.Therefore, ...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
We consider the problem of computing a scaling α such that the solution x of the scaled linear syste...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
On modern multi-core, many-core, and heterogeneous architectures, floating-point computations, espec...
National audienceOn modern multi-core, many-core, and heterogeneous architectures, floating-point co...
Several parallel algorithms have been proposed for the solution of triangular systems. The stability...
Efficient triangular solvers for use on message passing multiprocessors are required, in several co...
The modern GPUs are well suited for intensive computational tasks and massive parallel computation. ...
Triangular linear systems are fundamental in numerical linear algebra. A triangular linear system ha...
Solving a system of equations of the form Tx = y, where T is a sparse triangular matrix, is require...
We consider solving triangular systems of linear equations on a hypercube multiprocessor. Specifica...
Solving triangular systems is the building block for preconditioned GMRES algorithm. Inexact precond...
International audienceWe present a new parallel algorithm to compute an exact triangularization of l...