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 ...
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 ...
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 ...
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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