Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-based dense matrix inversion algorithm involves the inversion of one or two triangular matrices. In this work, we present an improved implementation of a parallel triangular matrix inversion for heterogeneous multicore CPU/dual-GPU systems.
F. Ries, T. De Marco, R. Guerrieri (2012). Triangular Matrix Inversion on Heterogeneous Multicore Systems. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 23, no.1, 177-184 [10.1109/TPDS.2011.103].
Triangular Matrix Inversion on Heterogeneous Multicore Systems
RIES, FLORIAN;DE MARCO, TOMMASO;GUERRIERI, ROBERTO
2012
Abstract
Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-based dense matrix inversion algorithm involves the inversion of one or two triangular matrices. In this work, we present an improved implementation of a parallel triangular matrix inversion for heterogeneous multicore CPU/dual-GPU systems.File in questo prodotto:
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