Titlebook: Applied Parallel Computing. New Paradigms for HPC in Industry and Academia; 5th International Wo Tor S?revik,Fredrik Manne,Randi Moe Confer

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On the Efficiency of Scheduling Algorithms for Parallel Gaussian Elimination with Communication Dela It takes into account the workload distribution and the communication overhead. We investigate the efficiency of the parallel Gaussian algorithm with matrices distributed in 1D and 2D block and cyclic layouts. The results are generalized for block-block and block-cyclic distributions. We find the c

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REIGN

Parallel Two-Stage Reduction of a Regular Matrix Pair to Hessenberg-Triangular Formtrix pair to a block upper Hessenberg-triangular form (..T), where .. is upper r-Hessenberg with r > 1 subdiagonals and T is upper triangular. In stage two, the desired upper Hessenberg-triangular form is computed using two-sided Givens rotations. Performance results for the ScaLAPACK-style implemen

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FORGO

MUMPS: A General Purpose Distributed Memory Sparse Solveran be symmetric positive definite, general symmetric, or unsymmetric, and possibly rank deficient. MUMPS exploits parallelism coming from the sparsity in the matrix and parallelism available for dense matrices. Additionally, large computational tasks are divided into smaller subtasks to enhance para

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Runtime Adaptation of an Iterative Linear System Solution to Distributed Environmentseliability and sustainable performance of a cluster are difficult to ensure since the amount of available distributed resources may vary during the application execution. To increase robustness, an application needs to have self-adaptive features that are invoked at the runtime. For a class of compu

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0302-9743 Computing. PARA 2000 was held in Bergen, Norway, June 18-21, 2000. The workshop was organized by Parallab and the Department of Informatics at the University of Bergen. The general theme for PARA 2000 was New paradigms for HPC in industry and academia focusing on: { High-performance computing appli