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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 and Distributed Systems, IEEE Transactions on (Volume:23 , Issue: 1 )
Date of Publication: Jan. 2012