Task Reconfiguration Problems in High-Performance Distributed-Memory Machines

这项研究旨在探索分布式内存机器上发生故障时任务模块的重新配置技术。这些问题包括(1)局部和全局重构之间的权衡；(2)成功恢复后支持重构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对网络剩余结构的分析；(5)对故障模式的广泛模拟和在Paralex 10维超立方体上开发的算法的性能。

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.