Applied Parallel and Scientific Computing

Table of Contents

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   Book Overview
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   Chapter 1 Free Energy Monte Carlo Simulations on a Distributed Network
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   Chapter 2 Numerical Investigation of the Cumulant Expansion for Fourier Path Integrals
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   Chapter 3 Optimization of Functionals of Orthonormal Functions in the Absence of Unitary Invariance
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   Chapter 4 Simulated Annealing with Coarse Graining and Distributed Computing
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   Chapter 5 Path Optimization with Application to Tunneling
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   Chapter 6 Shallow Water Simulations on Multiple GPUs
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   Chapter 7 High Performance Computing Techniques for Scaling Image Analysis Workflows
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   Chapter 8 Parallel Computation of Bivariate Polynomial Resultants on Graphics Processing Units
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    Chapter 9 Accelerating Model Reduction of Large Linear Systems with Graphics Processors
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    Chapter 10 Fast GPU-Based Fluid Simulations Using SPH
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    Chapter 11 Toward Techniques for Auto-tuning GPU Algorithms
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    Chapter 12 An Interval Version of the Crank-Nicolson Method – The First Approach
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    Chapter 13 Parallel Detection of Interval Overlapping
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    Chapter 14 Using the Second-Order Information in Pareto-set Computations of a Multi-criteria Problem
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    Chapter 15 Comments on Fast and Exact Accumulation of Products
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    Chapter 16 An Interval Finite Difference Method of Crank-Nicolson Type for Solving the One-Dimensional Heat Conduction Equation with Mixed Boundary Conditions
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    Chapter 17 Using C-XSC for High Performance Verified Computing
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    Chapter 18 Efficient Implementation of Interval Matrix Multiplication
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    Chapter 19 The Computing Framework for Physics Analysis at LHCb
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    Chapter 20 Taming the Raven – Testing the Random Access, Visualization and Exploration Network RAVEN
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    Chapter 21 RAVEN – Boosting Data Analysis for the LHC Experiments
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    Chapter 22 Bridging HPC and Grid File I/O with IOFSL
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    Chapter 23 Fine Granularity Sparse QR Factorization for Multicore Based Systems
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    Chapter 24 Mixed Precision Iterative Refinement Methods for Linear Systems: Convergence Analysis Based on Krylov Subspace Methods
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    Chapter 25 An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs
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    Chapter 26 Efficient Reduction from Block Hessenberg Form to Hessenberg Form Using Shared Memory
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    Chapter 27 Cache-Oblivious Algorithms and Matrix Formats for Computations on Interval Matrices
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    Chapter 28 Parallel Solution of Narrow Banded Diagonally Dominant Linear Systems
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    Chapter 29 An Approach for Semiautomatic Locality Optimizations Using OpenMP
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    Chapter 30 Memory-Efficient Sierpinski-Order Traversals on Dynamically Adaptive, Recursively Structured Triangular Grids
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    Chapter 31 Fast Wavelet Transform Utilizing a Multicore-Aware Framework
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    Chapter 32 Direct Sparse Factorization of Blocked Saddle Point Matrices
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    Chapter 33 Multi-Target Vectorization with MTPS C++ Generic Library
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    Chapter 34 Analysis of Gravitational Wave Signals on Heterogeneous Architectures
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    Chapter 35 Towards Efficient Execution of Erasure Codes on Multicore Architectures
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    Chapter 36 Communication-Efficient Algorithms for Numerical Quantum Dynamics
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    Chapter 37 Efficiently Implementing Monte Carlo Electrostatics Simulations on Multicore Accelerators
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    Chapter 38 Applied Parallel and Scientific Computing
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    Chapter 39 Solution of Identification Problems in Computational Mechanics – Parallel Processing Aspects
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    Chapter 40 ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale
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    Chapter 41 A Lightweight Library for Building Scalable Tools
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    Chapter 42 MATE: Toward Scalable Automated and Dynamic Performance Tuning Environment
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    Chapter 43 Improving the Scalability of Performance Evaluation Tools
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    Chapter 44 Automatic Performance Analysis of OpenMP Codes on a Scalable Shared Memory System Using Periscope
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    Chapter 45 Further Improving the Scalability of the Scalasca Toolset