Self-healing in binomial graph networks
作者： Thara Angskun , George Bosilca , Jack Dongarra
DOI: 10.1007/978-3-540-76890-6_30
关键词:
摘要: The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the components increases, so does probability failure. logical network topologies must also support fault-tolerant capability such dynamic environments. This paper presents a self-healing mechanism improve Binomial graph (BMG) network. protects BMG from bisection helps maintain optimal routing even failure circumstances. experimental results show that with an adaptive method significantly reduces overhead reconstructing networks.
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