A scalable methodology for computing fault-free paths in InfiniBand torus networks

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Abstract

Currently, clusters of PCs are considered as a cost-effective alternative to large parallel computers. In these systems the interconnection network plays a key role. As the number of elements increases in these systems, the probability of faults increases dramatically. Moreover, in some cases, it is critical to keep the system running even in the presence of faults. Therefore, an effective faulttolerant strategy is needed. InfiniBand (IBA) is a new standard-interconnect suitable for clusters. Unfortunately, most of the fault-tolerant routing strategies proposed for massively parallel computers cannot be applied to IBA because routing and virtual channel transitions are deterministic, which prevent packets from avoiding the faults. A possible approach to provide fault-tolerance in IBA consists of using several disjoint paths between every source-destination pair of nodes and selecting the appropriate path at the source host. However, to this end, a routing algorithm able to provide enough disjoint paths, while still guaranteeing deadlock-freedom, is required. In this paper we address this issue, proposing a scalable fault-tolerant methodology for IBA Torus networks. Results show that the proposed methodology scales and supports up to (2n - 1)-faults for n-dimensional tori when using 2 VLs (virtual lanes) and 4 SLs (service levels) regardless of the network size. Additionally the methodology is able to support up to 3 faults for 2D tori with 2 VLs and only 3 SLs. © Springer-Verlag Berlin Heidelberg 2008.

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APA

Montañana, J. M., Flieh, J., Robles, A., & Duato, J. (2008). A scalable methodology for computing fault-free paths in InfiniBand torus networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4759 LNCS, pp. 79–92). Springer Verlag. https://doi.org/10.1007/978-3-540-77704-5_7

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