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A 3D Parallel Algorithm for QR Decomposition
May 14, 2018 Β· Declared Dead Β· π ACM Symposium on Parallelism in Algorithms and Architectures
"No code URL or promise found in abstract"
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Authors
Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Nicholas Knight
arXiv ID
1805.05278
Category
cs.DC: Distributed Computing
Citations
6
Venue
ACM Symposium on Parallelism in Algorithms and Architectures
Last Checked
4 months ago
Abstract
Interprocessor communication often dominates the runtime of large matrix computations. We present a parallel algorithm for computing QR decompositions whose bandwidth cost (communication volume) can be decreased at the cost of increasing its latency cost (number of messages). By varying a parameter to navigate the bandwidth/latency tradeoff, we can tune this algorithm for machines with different communication costs.
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