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Implementing a Systolic Algorithm for QR Factorization on Multicore Clusters with PaRSEC

Abstract : This article introduces a new systolic algorithm for QR factorization, and its implementation on a supercomputing cluster of multicore nodes. The algorithm targets a virtual 3D-array and requires only local communications. The implementation of the algorithm uses threads at the node level, and MPI for inter-node communications. The complexity of the implementation is addressed with the PaRSEC software, which takes as input a parametrized dependence graph, which is derived from the algorithm, and only requires the user to decide, at the high-level, the allocation of tasks to nodes. We show that the new algorithm exhibits competitive performance with state-of-the-art QR routines on a supercomputer called Kraken, which shows that high-level programming environments, such as PaRSEC, provide a viable alternative to enhance the production of quality software on complex and hierarchical architectures.
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Contributor : Guillaume Pallez (aupy) Connect in order to contact the contributor
Submitted on : Saturday, November 2, 2013 - 11:20:28 AM
Last modification on : Saturday, September 11, 2021 - 3:18:10 AM
Long-term archiving on: : Monday, February 3, 2014 - 4:24:22 AM


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  • HAL Id : hal-00879248, version 1



Guillaume Aupy, Mathieu Faverge, Yves Robert, Jakub Kurzak, Piotr Luszczek, et al.. Implementing a Systolic Algorithm for QR Factorization on Multicore Clusters with PaRSEC. [Research Report] RR-8390, INRIA. 2013, pp.16. ⟨hal-00879248⟩



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