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Content Provider | IEEE Xplore Digital Library |
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Author | Zizhong Chen Dongarra, J. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN (Zizhong Chen; Dongarra, J.) |
Abstract | As the size of today's high performance computers increases from hundreds, to thousands, and even tens of thousands of processors, node failures in these computers are becoming frequent events. Although checkpoint/rollback-recovery is the typical technique to tolerate such failures, it often introduces a considerable overhead. Algorithm-based fault tolerance is a very cost-effective method to incorporate fault tolerance into matrix computations. However, previous algorithm-based fault tolerance methods for matrix computations are often derived using algorithms that are seldomly used in the practice of today's high performance matrix computations and have mostly focused on platforms where failed processors produce incorrect calculations. To fill this gap, this paper extends the existing algorithm-based fault tolerance to the volatile computing platform where the failed processor stops working and applies it to scalable high performance matrix computations with two dimensional block cyclic data distribution. We show the practicality of this technique by applying it to the ScaLAPACK/PBLAS matrix-matrix multiplication kernel. Experimental results demonstrate that the proposed approach is able to survive process failures with a very low performance overhead |
File Size | 6183254 |
File Format | |
ISBN | 1424400546 |
DOI | 10.1109/IPDPS.2006.1639333 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-04-25 |
Publisher Place | Greece |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fault tolerance Concurrent computing Checkpointing High performance computing Kernel Laboratories Computer science Application software Fault tolerant systems Distributed computing |
Content Type | Text |
Resource Type | Article |
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