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Parallel Processing and Applied Mathematics

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Cover of 'Parallel Processing and Applied Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Incremental PCA Algorithms
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    Chapter 2 Algorithms for Forward and Backward Solution of the Fokker-Planck Equation in the Heliospheric Transport of Cosmic Rays
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    Chapter 3 Efficient Evaluation of Matrix Polynomials
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    Chapter 4 A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES
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    Chapter 5 Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs
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    Chapter 6 Comparison of Parallel Time-Periodic Navier-Stokes Solvers
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    Chapter 7 Blocked Algorithms for Robust Solution of Triangular Linear Systems
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    Chapter 8 A Comparison of Accuracy and Efficiency of Parallel Solvers for Fractional Power Diffusion Problems
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    Chapter 9 Efficient Cross Section Reconstruction on Modern Multi and Many Core Architectures
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    Chapter 10 Parallel Assembly of ACA BEM Matrices on Xeon Phi Clusters
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    Chapter 11 Stochastic Bounds for Markov Chains on Intel Xeon Phi Coprocessor
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    Chapter 12 Fast DEM Collision Checks on Multicore Nodes
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    Chapter 13 A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method
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    Chapter 14 Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems
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    Chapter 15 The Impact of Particle Sorting on Particle-In-Cell Simulation Performance
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    Chapter 16 TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution
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    Chapter 17 Comparison of Time and Energy Oriented Scheduling for Task-Based Programs
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    Chapter 18 Experiments with Sparse Cholesky Using a Parametrized Task Graph Implementation
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    Chapter 19 A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form
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    Chapter 20 Radix Tree for Binary Sequences on GPU
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    Chapter 21 A Comparison of Performance Tuning Process for Different Generations of NVIDIA GPUs and an Example Scientific Computing Algorithm
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    Chapter 22 NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch
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    Chapter 23 Two-Echelon System Stochastic Optimization with R and CUDA
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    Chapter 24 Parallel Hierarchical Agglomerative Clustering for fMRI Data
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    Chapter 25 Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs
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    Chapter 26 Approximating Personalized Katz Centrality in Dynamic Graphs
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    Chapter 27 Graph-Based Speculative Query Execution for RDBMS
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    Chapter 28 A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation
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    Chapter 29 Early Performance Evaluation of the Hybrid Cluster with Torus Interconnect Aimed at Molecular-Dynamics Simulations
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    Chapter 30 Load Balancing for CPU-GPU Coupling in Computational Fluid Dynamics
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    Chapter 31 Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer
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    Chapter 32 An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods
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    Chapter 33 Prediction of the Inter-Node Communication Costs of a New Gyrokinetic Code with Toroidal Domain
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    Chapter 34 D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation
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    Chapter 35 Dfuntest: A Testing Framework for Distributed Applications
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    Chapter 36 Security Monitoring and Analytics in the Context of HPC Processing Model
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    Chapter 37 Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data
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    Chapter 38 Bridging the Gap Between HPC and Cloud Using HyperFlow and PaaSage
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    Chapter 39 A Memory Efficient Parallel All-Pairs Computation Framework: Computation – Communication Overlap
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    Chapter 40 Automatic Parallelization of ANSI C to CUDA C Programs
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    Chapter 41 Consistency Models for Global Scalable Data Access Services
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    Chapter 42 Global State Monitoring in Optimization of Parallel Event–Driven Simulation
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    Chapter 43 High Performance Optimization of Independent Component Analysis Algorithm for EEG Data
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    Chapter 44 Continuous and Discrete Models of Melanoma Progression Simulated in Multi-GPU Environment
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    Chapter 45 Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications
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    Chapter 46 Towards a Model of Semi-supervised Learning for the Syntactic Pattern Recognition-Based Electrical Load Prediction System
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    Chapter 47 Parallel Processing of Color Digital Images for Linguistic Description of Their Content
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    Chapter 48 Co-evolution of Fitness Predictors and Deep Neural Networks
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    Chapter 49 Performance Evaluation of DBN Learning on Intel Multi- and Manycore Architectures
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    Chapter 50 On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment
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    Chapter 51 New Preconditioning for the One-Sided Block-Jacobi SVD Algorithm
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    Chapter 52 Structure-Preserving Technique in the Block SS–Hankel Method for Solving Hermitian Generalized Eigenvalue Problems
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    Chapter 53 On Using the Cholesky QR Method in the Full-Blocked One-Sided Jacobi Algorithm
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    Chapter 54 Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems
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    Chapter 55 Partial Inverses of Complex Block Tridiagonal Matrices
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    Chapter 56 Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior
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Title
Parallel Processing and Applied Mathematics
Published by
Springer International Publishing, April 2018
DOI 10.1007/978-3-319-78024-5
ISBNs
978-3-31-978023-8, 978-3-31-978024-5
Editors

Wyrzykowski, Roman, Dongarra, Jack, Deelman, Ewa, Karczewski, Konrad

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Engineering 1 20%
Unknown 4 80%