Task Reconfiguration Problems in High-Performance Distributed-Memory Machines

高性能分布式内存机器中的任务重新配置问题

• 批准号: 9103086
• 负责人: M Sridhar
• 金额: $ 5.65万
• 依托单位: University of South Carolina at Columbia
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-10-01 至 1994-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9103086&HistoricalAwards=false
• 关键词: Task; Reconfiguration; Problems; Performance; Distributed

The proposed research concerns the exploration of techniques for reconfiguration of task modules on distributed-memory machines when faults occur. The problems include (1) trade offs between local and global reconfiguration; (2) communications required to support reconfiguration and task computation after successful recovery; (3) fault-tolerant embedding; (4) analysis of the residual structure of networks in the presence of faulty nodes, and (5) extensive simulations of fault patterns and the performance of algorithms developed on a Paralex 10-dimensional hypercube.

所提出的研究涉及当故障发生时分布式内存机器上任务模块的重新配置技术的探索。 这些问题包括（1）局部和全局重新配置之间的权衡； (2) 成功恢复后支持重新配置和任务计算所需的通信； (3)容错嵌入； (4) 在存在故障节点的情况下分析网络的残余结构，以及 (5) 对故障模式和在 Paralex 10 维超立方体上开发的算法的性能进行广泛的模拟。