A Software Package for Solving Large, Sparse Linear Systems of Equations in a Vector Processing Environment

在过去的十年中，大规模科学计算“技术”中可能最重要的两个进展是稀疏矩阵(迭代)算法和向量处理。我们的计划是建立一个软件包，将这两项进步的力量带给科学界，而不会迫使科学界成为这两项技术中的任何一项的专家。软件包是V-PCGPAK，一个通用的向量稀疏矩阵求解器。V-PCGPAK将基于PCGPAK，PCGPAK是用于迭代求解大型、稀疏、非对称线性方程组的子例程的预条件共轭梯度包。这类系统的解决方案通常是大型工程和科学计算机程序的计算密集型核心。

Over the past decade, two of the potentially most important advances in the "technology" of large scale scientific computing are sparse matrix (iterative) algorithms and vector processing. The plan is to build a software package that will bring the power of both advances to the aid of the scientific community without forcing that community to become expert in either technology. The software package is V-PCGPAK, a general vector, sparse matrix solver. V-PCGPAK will be based on PCGPAK, the Preconditioned Conjugate Gradient Package of subroutines for the iterative solution of large, sparse, nonsymmetric systems of linear equations. The solution of such systems is usually the compute- intensive kernel of large engineering and scientific computer programs.