Titlebook: High Performance Computing for Computational Science -- VECPAR 2014; 11th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferen

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Modeling 1D Distributed-Memory Dense Kernels for an Asynchronous Multifrontal Sparse Solver. decompositions, study the use of several levels of blocking, before focusing on communication issues. The general purpose sparse solver MUMPS has been modified to implement the proposed algorithms and confirm the properties demonstrated by the models.

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Hartwig Anzt,Dimitar Lukarski,Stanimire Tomov,Jack Dongarraonalised Television Listings — . system which tackles the information overload associated with modern TV listings data, by providing an Internet-based personalised listings service. PTV is capable of automatically compiling personalised guides to match the likes and dislikes of individual users.

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A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUsour optimization improves the Arnoldi methods implementations for a generic matrix, and a benefit of up to 10x speedup for some special diagonal structured matrix. The performance advantage also varies for different subspace sizes and matrix formats, which requires a further integration of auto-tuning strategy.

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Fault Tolerance in an Inner-Outer Solver: A GVR-Enabled Case Studyce (GVR) programming model, which provides multi-stream snapshots, multi-version data structures with portable and rich error checking/recovery. Experimental results validate correct execution with low performance overhead under varied error conditions.

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Conference proceedings 2015utational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. .The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/