Theory and Applications of Parallel Sparse Vector Methods

这是一个关于计算理论的少数派研究启动（MRI）计划拨款提案，旨在开发1)并行处理的数值技术，以及2)计算机器和方法在大型系统问题中的应用。总体目标是整合这两个领域。在计划期间，研究者将为并行稀疏向量方法的应用开发有效的排序程序，如并行三角剖分和矩阵反演。将对这些方法进行可行性研究，并在实际的超级计算机系统上进行测试。这项资助将为受过良好训练的少数族裔科学家提供支持，以开展这些和其他初步活动，为提交MRI研究启动部分的竞争性提案奠定基础。

This is a Minority Research Initiation (MRI) Planning Grant proposal in computational theory to develop 1) numerical techniques for parallel processing and 2) application of computing machinery and methods to large systems problems. The overall goal is to integrate the two areas. During the planning period the investigator will develop effective ordering procedures for the applications of parallel sparse vector methods such as, parallel triangulation and inversion of matrices. Feasibility studies of these methods and testing them on an actual supercomputer system will be conducted. This grant will provide support for a well-trained minority scientist to perform these and other preliminary activities as a basis for developing a competitive proposal for submission to the MRI research initiation component.