For the all versions except the 2D blocks, it is possible to specify if you want to use partial pivoting. The default behavior of the applications is to generate a random square matrix and calculate ...
This LU solver uses the pure Gilbert-Peierls left-looking algorithm, which is suitable for very sparse linear systems, such as circuit problems. This LU solver uses OpenMP to parallelize the LU ...
Abstract: A number of sparse linear systems are solved by sparse LU factorization in a circuit simulation process. The coefficient matrices of these linear systems have the identical structure but ...
Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...
Let us assume that we have already computed permutations such that where , , and are ,and the matrix has been overwritten by The outer-product based variant, implemented for example in LAPACK, for ...
2022 IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms (IA3) Decomposing sparse matrices into lower and upper triangular matrices (sparse LU factorization) is a key operation ...
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