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Tuesday, February 11, 2020 | History

2 edition of Performance and tuning of two distributed memory sparse solvers found in the catalog.

Performance and tuning of two distributed memory sparse solvers

P. R. Amestoy

Performance and tuning of two distributed memory sparse solvers

  • 168 Want to read
  • 27 Currently reading

Published by Rutherford Appleton Laboratory in Chilton .
Written in English


Edition Notes

StatementP.R. Amestoy and others.
SeriesRutherford Appleton Laboratory Technical Report -- RAL-TR-2001-004
ContributionsRutherford Appleton Laboratory., Council For The Central Laboratory of The Research Councils.
ID Numbers
Open LibraryOL18644838M

HPCN-Europe This turns out to be an adequate approximation. Crossref Efficient discontinuous finite difference meshes for 3-D Laplace—Fourier domain seismic wavefield modelling in acoustic media with embedded boundaries. The problems can be symmetric positive definite, general symmetric, or unsymmetric matrices, both possibly rank deficient, and they can be provided by the user in several formats. Grimes, and J. Using the value as the address When values are used as the address where they are to be stored, it becomes possible to home-in on a stored value starting from an inaccurate or incomplete version of that value.

Crossref 3D electromagnetic modelling and inversion: a case for open source. Procedia Computer Science It can be used to store and recall large amounts of data efficiently, without requiring that the data be completely accurate or that we know exactly what we need to recall. Crossref Computational homogenization with million-way parallelism using domain decomposition methods.

University of Minnesota, September Each value in the binary space is indifferent or very nearly indifferent to the vast majority about 99 percent when n is large of other values. Crossref Efficient use of sparsity by direct solvers applied to 3D controlled-source EM problems. Journal of Parallel and Distributed Computing 85, Crossref Shape sensitivity of eigenvalues in hydrodynamic stability, with physical interpretation for the flow around a cylinder. Crossref Computational modal analysis of a composite pelvic bone: convergence and validation studies.


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Performance and tuning of two distributed memory sparse solvers book

Koster, and P. Crossref A one-way coupled model for the vibration of tuning fork-based trace gas sensors driven by a thermoacoustic wave.

Applied Physics B Crossref 3D non-conforming mesh model for flow in fractured porous media using Lagrange multipliers.

Sparse distributed memory

Google Scholar 5. Unlike many in the field of AI, the author does not yield to the temptation of ranting endlessly; this book is pages. Geoscientific Model Development Additive Manufacturing 25, Euro-Par Parallel Processing Workshops, Journal of Animal Breeding and Genetics Physical Review Fluids Crossref Unified numerical approach to topological semiconductor-superconductor heterostructures.

Parallel Computing 57, Journal of Thermophysics and Heat Transfer Crossref Enhancement of disturbance wave amplification due to the intrinsic three-dimensionalisation of laminar separation bubbles.

The algo- rithm is shown to be applicable to dense as well as sparse triangular solvers. Crossref Electron scattering in quantum waveguides with sources and absorbers.

Google Scholar 9. A Bradford Book. Crossref Multiscale model of the role of grain boundary structures in the dynamic intergranular failure of polycrystal aggregates.

Haidar, A.We present a parallel hierarchical solver for general sparse linear systems on distributed-memory machines.

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For large-scale problems, this fully algebraic algorithm is faster and more memory-efficient than sparse direct solvers because it exploits the low-rank structure of fill-in hildebrandsguld.com by: 4.

hildebrandsguld.com Technical Report: Analysis, tuning and comparison of two general sparse solvers for distributed memory computers.

Analysis, tuning and comparison of two general sparse solvers for distributed memory computers. Full Record; Other Related Research.

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Sparse Distributed Memory A study of psychologically driven storage Pentti Kanerva Sparse Distributed Memory Πp. 1/ method of storage called sparse memory. This fails his goals, however, he builds on this model, culminating in Hamming Distance between two binary sequences is.

lation utilizing a two dimensional distribution of T is unscalable. In this paper, we propose the rst known e cient scalable parallel algorithm which uses a two dimensional block cyclic distribution of T.

The algo-rithm is shown to be applicable to dense as well as sparse triangular solvers. Since most of the known. Adapting Distributed Scientific Applications to Run-Time Network Conditions.- Sparse Direct Linear Solvers: An Introduction.- Oblio: Design and Performance.- Performance Analysis of Parallel Right-Looking Sparse LU Factorization on Two Dimensional Grids of Processors.- A Shared- and Distributed-Memory Parallel Sparse Direct Solver Automatic Performance Tuning and Analysis of Sparse Triangular Solve Richard Vuduc, Shoaib Kamil, Jen Hsu, Rajesh Nishtala James W.

Demmel, Katherine A. Yelick.