Listar por tema "LU factorization"
Mostrando ítems 1-7 de 7
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Exploiting nested task-parallelism in the H-LU factorization
Elsevier (2019-04)We address the parallelization of the LU factorization of hierarchical matrices (-matrices) arising from boundary element methods. Our approach exploits task-parallelism via the OmpSs programming model and runtime, which ... -
Hierarchical approach for deriving a reproducible unblocked LU factorization
Sage (2019-03-17)We propose a reproducible variant of the unblocked LU factorization for graphics processor units (GPUs). For this purpose, we build upon Level-1/2 BLAS kernels that deliver correctly-rounded and reproducible results for ... -
Reducing Power Consumption of the LU Factorization with Partial Pivoting on Multi-Core Processors
Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2011-07)In this paper we analyze the trade-off between energy and performance for a data- parallel execution of the LU factorization with partial pivoting on a multi-core proces- sor. To improve power efficiency, we adapt the ... -
Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators
Springer (2016-04-02)In 1979, P. Huard presented an efficient variant of the Gauss-Jordan elimination for the solution of linear systems. In particular, this alternative algorithm exhibits the same computational cost as the traditional LU-based ... -
Solving Dense Linear Systems on Graphics Processors
Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-02)We present several algorithms to compute the solution of a linear system of equations on a GPU, as well as general techniques to improve their performance, such as padding and hybrid GPU-CPU computation. We also show how ... -
Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors
Elsevier (2018)We analyze the benefits of look-ahead in the parallel execution of the LU factorization with partial pivoting (LUpp) in two distinct “asymmetric” multicore scenarios. The first one corresponds to an actual hardware-asymmetric ... -
Using desktop computers to solve large-scale dense linear algebra problems
Springer Science+Business Media (2011-11)We provide experimental evidence that current desktop computers feature enough computational power to solve large-scale dense linear algebra problems. While the high computational cost of the numerical methods for solving ...