RIA: An Unsymmetric-Pattern Multifrontal Method for ParallelSparse LU Factorization

拟议研究的目标是开发一个平行的 稀疏非对称LU分解的多波前方法 矩阵，充分利用密集矩阵内核， 保持着完全不对称的模式 所得 算法将具有大规模高性能的潜力， 非对称模式稀疏矩阵 算法将是 适用于科学和工程中的许多问题， 需要稀疏非对称系统的数值解， 线性方程

The objective of the proposed research is to develop a parallel multifrontal method for LU factorization of sparse unsymmetric matrices that takes full advantage of dense matrix kernels while maintaining a purely unsymmetric pattern. The resulting algorithm will have the potential for high performance on large, sparse matrices with unsymmetric pattern. The algorithm will be applicable to the many problems in science and engineering that require the numerical solution of sparse unsymmetric systems of linear equations.