Issue No.01 - January (2012 vol.23)
F. Ries , Adv. Res. Center on Electron. Syst. for Inf. & Commun. Technol., E. De Castro (ARCES), Bologna, Italy
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.103
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.
parallel processing, computer graphic equipment, coprocessors, linear algebra, matrix inversion, multiprocessing systems, heterogeneous dual-GPU system, linear algebra algorithm, factorization-based dense matrix inversion algorithm, parallel triangular matrix inversion, heterogeneous multicore CPU system, Graphics processing unit, Instruction sets, Kernel, Random access memory, Indexes, Parallel processing, Table lookup, parallel processing., Matrix inversion
F. Ries, "Triangular Matrix Inversion on Heterogeneous Multicore Systems", IEEE Transactions on Parallel & Distributed Systems, vol.23, no. 1, pp. 177-184, January 2012, doi:10.1109/TPDS.2011.103