Abstract
The tile QR factorization provides an efficient and scalable way for factoring a dense matrix in parallel on multicore processors. This article presents a way of efficiently implementing the algorithm on a system with a powerful GPU and many multicore CPUs.
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Kurzak, J., Nath, R., Du, P., Dongarra, J. (2012). An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28145-7_25
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DOI: https://doi.org/10.1007/978-3-642-28145-7_25
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