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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 Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs
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    Chapter 2 Structure-Aware Calculation of Many-Electron Wave Function Overlaps on Multicore Processors
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    Chapter 3 Lazy Stencil Integration in Multigrid Algorithms
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    Chapter 4 High Performance Tensor–Vector Multiplication on Shared-Memory Systems
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    Chapter 5 Efficient Modular Squaring in Binary Fields on CPU Supporting AVX and GPU
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    Chapter 6 Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils
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    Chapter 7 Introduction to StarNEig—A Task-Based Library for Solving Nonsymmetric Eigenvalue Problems
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    Chapter 8 Robust Task-Parallel Solution of the Triangular Sylvester Equation
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    Chapter 9 Vectorized Parallel Solver for Tridiagonal Toeplitz Systems of Linear Equations
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    Chapter 10 Parallel Performance of an Iterative Solver Based on the Golub-Kahan Bidiagonalization
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    Chapter 11 A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
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    Chapter 12 Hybrid Solver for Quasi Block Diagonal Linear Systems
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    Chapter 13 Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems
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    Chapter 14 Implementation of Parallel 3-D Real FFT with 2-D Decomposition on Intel Xeon Phi Clusters
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    Chapter 15 Exploiting Symmetries of Small Prime-Sized DFTs
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    Chapter 16 Parallel Computations for Various Scalarization Schemes in Multicriteria Optimization Problems
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    Chapter 17 Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations
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    Chapter 18 An Area Efficient and Reusable HEVC 1D-DCT Hardware Accelerator
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    Chapter 19 Improving Locality-Aware Scheduling with Acyclic Directed Graph Partitioning
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    Chapter 20 Isoefficiency Maps for Divisible Computations in Hierarchical Memory Systems
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    Chapter 21 OpenMP Target Device Offloading for the SX-Aurora TSUBASA Vector Engine
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    Chapter 22 On the Road to DiPOSH: Adventures in High-Performance OpenSHMEM
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    Chapter 23 Click-Fraud Detection for Online Advertising
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    Chapter 24 Parallel Graph Partitioning Optimization Under PEGASUS DA Application Global State Monitoring
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    Chapter 25 Cloud Infrastructure Automation for Scientific Workflows
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    Chapter 26 Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications
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    Chapter 27 A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes
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    Chapter 28 Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs
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    Chapter 29 Exploiting Parallelism on Shared Memory in the QED Particle-in-Cell Code PICADOR with Greedy Load Balancing
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    Chapter 30 Parallelized Construction of Extension Velocities for the Level-Set Method
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    Chapter 31 Relative Expression Classification Tree. A Preliminary GPU-Based Implementation
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    Chapter 32 Performance Optimizations for Parallel Modeling of Solidification with Dynamic Intensity of Computation
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    Chapter 33 SIMD-node Transformations for Non-blocking Data Structures
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    Chapter 34 Stained Glass Image Generation Using Voronoi Diagram and Its GPU Acceleration
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    Chapter 35 Modifying Queries Strategy for Graph-Based Speculative Query Execution for RDBMS
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    Chapter 36 Accelerating GPU-based Evolutionary Induction of Decision Trees - Fitness Evaluation Reuse
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    Chapter 37 A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics
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    Chapter 38 Parallel Processing of Images Represented by Linguistic Description in Databases
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    Chapter 39 An OpenMP Parallelization of the K -means Algorithm Accelerated Using KD-trees
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    Chapter 40 Evaluating the Use of Policy Gradient Optimization Approach for Automatic Cloud Resource Provisioning
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    Chapter 41 Improving Efficiency of Automatic Labeling by Image Transformations on CPU and GPU
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    Chapter 42 Efficient Triangular Matrix Vector Multiplication on the GPU
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    Chapter 43 Performance Engineering for a Tall & Skinny Matrix Multiplication Kernels on GPUs
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    Chapter 44 Reproducible BLAS Routines with Tunable Accuracy Using Ozaki Scheme for Many-Core Architectures
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    Chapter 45 Portable Monte Carlo Transport Performance Evaluation in the PATMOS Prototype
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    Chapter 46 Multifrontal Non-negative Matrix Factorization
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    Chapter 47 Preconditioned Jacobi SVD Algorithm Outperforms PDGESVD
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    Chapter 48 A Parallel Factorization for Generating Orthogonal Matrices
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Title
Parallel Processing and Applied Mathematics
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-43229-4
ISBNs
978-3-03-043228-7, 978-3-03-043229-4
Editors

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

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