Abstract
► The SPIKE banded algorithm is implemented using OpenMP on shared-memory architecture. ► The SPIKE-OpenMP solver is compared to the LAPACK BLAS-threaded LU model. ► Significant speed-up improvements are reported for SPIKE on multicore architecture. A parallel SPIKE algorithm for solving banded diagonally-dominant and non-diagonally dominant linear systems, has been implemented for shared-memory architectures. The numerical experiments demonstrate that the SPIKE-OpenMP solvers offer a highly competitive threaded alternative strategy to the LAPACK BLAS-threaded LU model, for solving banded linear systems on current multicore architectures.
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