Equal bi-Vectorized (EBV) method to high performance on GPU
Due to importance of reducing of time solution in numerical codes, we propose
an algorithm for parallel LU decomposition solver for dense and sparse matrices
on GPU. This algorithm is based on first bi-vectorizing a triangular matrices
of decomposed coefficient matrix and then equalizing vectors. So we improve
performance of LU decomposition on equal contributed scheme on threads. This
algorithm also is convenient for other parallelism method and multi devices.
Several test cases show advantage of this method over other familiar method.