Theory and Applications of Parallel Sparse Vector Methods

并行稀疏向量方法的理论与应用

• 批准号: 8816193
• 负责人: Ramon Betancourt
• 金额: $ 1.2万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-15 至 1989-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8816193&HistoricalAwards=false
• 关键词: Theory; Applications; Parallel; Sparse; Vector

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.

这是计算理论中的少数群体研究启动(MRI)计划资助建议，旨在开发1)并行处理的数值技术和2)计算机器和方法在大型系统问题中的应用。总体目标是将这两个领域整合起来。在计划期间，研究人员将为并行稀疏向量方法的应用开发有效的排序程序，例如并行三角剖分和矩阵求逆。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。这笔赠款将支持一名训练有素的少数族裔科学家开展这些活动和其他初步活动，以此为基础制定一份竞争性提案，提交核磁共振研究启动部分。