POOCLAPACK: Parallel Out-of-Core Linear Algebra Package In this paper parallel implementation of out-of-core Cholesky factorization is used to introduce the Parallel Outof-Core Linear Algebra Package (POOCLAPACK), a flexible infrastructure for parallel implementation of out-of-core linear algebra operations. POOCLAPACK builds on the Parallel Linear Algebra Package (PLAPACK) for in-core parallel dense linear algebra computation. Despite the extreme simplicity of POOCLAPACK, the out-of-core Cholesky factorization implementation is shown to achieve in excess of 80% of peak performance on a 64 node configuration of the Cray T3E-600. Preliminary results from the HP Exemplar X-Class that demonstrate the portability of POOCLAPACK are also given.

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  1. D’Azevedo, Eduardo; Hu, Zhiang; Su, Shi-Quan; Wong, Kwai: Solving a large scale radiosity problem on GPU-based parallel computers (2014)
  2. Demmel, James; Grigori, Laura; Hoemmen, Mark; Langou, Julien: Communication-optimal parallel and sequential QR and LU factorizations (2012)
  3. Badia, J. M.; Movilla, J. L.; Climente, J. I.; Castillo, M.; Marqués, M.; Mayo, R.; Quintana-Ortí, E. S.; Planelles, J.: Large-scale linear system solver using secondary storage: self-energy in hybrid nanostructures (2011)
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  5. Michailidis, Panagiotis D.; Margaritis, Konstantinos G.: Parallel direct methods for solving the system of linear equations with pipelining on a multicore using OpenMP (2011)
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  7. Castillo, Maribel; Igual, Francisco D.; Marqués, Mercedes; Mayo, Rafael; Quintana-Ortí, Enrique S.; Quintana-Ortí, Gregorio; Rubio, Rafael; van de Geijn, Robert: Out-of-core solution of linear systems on graphics processors (2009)
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  9. Béreux, Natacha: Out-of-core implementations of Cholesky factorization: loop-based versus recursive algorithms (2008)
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