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Solving Irregularly Structured Problems in Parallel

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Cover of 'Solving Irregularly Structured Problems in Parallel'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Combinatorial preconditioning for sparse linear systems
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    Chapter 2 A threaded sliding window executor for irregular computation on a NOW
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    Chapter 3 Parallel profile matching for large scale webcasting
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    Chapter 4 Large-scale SVD and subspace-based methods for information retrieval
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    Chapter 5 Thick-restart Lanczos method for symmetric eigenvalue problems
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    Chapter 6 Portable parallel adaptation of unstructured 3D meshes
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    Chapter 7 Partitioning sparse rectangular matrices for parallel processing
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    Chapter 8 Locality preserving load balancing with provably small overhead
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    Chapter 9 Tree-based parallel load-balancing methods for solution-adaptive unstructured finite element models on distributed memory multicomputers
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    Chapter 10 Coarse-grid selection for parallel algebraic multigrid
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    Chapter 11 Overlapping and short-cutting techniques in loosely synchronous irregular problems
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    Chapter 12 Control volume meshes using sphere packing
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    Chapter 13 Using multithreading for the automatic load balancing of adaptive finite element meshes
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    Chapter 14 Dynamic load balancing for parallel adaptive mesh refinement
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    Chapter 15 A robust and scalable library for parallel adaptive mesh refinement on unstructured meshes
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    Chapter 16 Quality balancing for parallel adaptive FEM
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    Chapter 17 Parallelization of an unstructured grid, hydrodynamic-diffusion code
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    Chapter 18 Exchange of messages of different sizes
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    Chapter 19 The distributed object-oriented threads system DOTS
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    Chapter 20 Graph partitioning and parallel solvers: Has the emperor no clothes?
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    Chapter 21 Parallel simulation of particulate flows
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    Chapter 22 Parallel vertex-to-vertex radiosity on a distributed shared memory system
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    Chapter 23 Load balancing in parallel molecular dynamics
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    Chapter 24 COMPASSION: A parallel I/O runtime system including chunking and compression for irregular applications
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    Chapter 25 Transformations of Cauchy matrices, Trummer's problem and a Cauchy-like linear solver
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    Chapter 26 A parallel GRASP for the Steiner problem in graphs
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    Chapter 27 A new simple parallel tree contraction scheme and its application on distance-hereditary graphs
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    Chapter 28 Cooperative multi-thread parallel tabu search with an application to circuit partitioning
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    Chapter 29 Experiments with mpC: Efficient solving regular problems on heterogeneous networks of computers via Irregularization
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    Chapter 30 Balancing the load in large-scale distributed entity-level simulations
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    Chapter 31 Modeling dynamic load balancing in molecular dynamics to achieve scalable parallel execution
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    Chapter 32 Relaxed Implementation of spectral methods for graph partitioning
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    Chapter 33 S-HARP: A parallel dynamic spectral partitioner
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    Chapter 34 Information filtering using the Riemannian SVD (R-SVD)
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    Chapter 35 Parallel run-time system for adaptive mesh refinement
Attention for Chapter 34: Information filtering using the Riemannian SVD (R-SVD)
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Chapter title
Information filtering using the Riemannian SVD (R-SVD)
Chapter number 34
Book title
Solving Irregularly Structured Problems in Parallel
Published by
Springer, Berlin, Heidelberg, August 1998
DOI 10.1007/bfb0018555
Book ISBNs
978-3-54-064809-3, 978-3-54-068533-3
Authors

Eric P. Jiang, Michael W. Berry

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Other 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Mathematics 1 25%