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GPU Solutions to Multi-scale Problems in Science and Engineering

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Cover of 'GPU Solutions to Multi-scale Problems in Science and Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Why Do Scientists and Engineers Need GPU’s Today?
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    Chapter 2 Happenings at the GPU Conference
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    Chapter 3 Efficiency, Energy Efficiency and Programming of Accelerated HPC Servers: Highlights of PRACE Studies
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    Chapter 4 GRAPE and GRAPE-DR
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    Chapter 5 Parray: A Unifying Array Representation for Heterogeneous Parallelism
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    Chapter 6 Practical Random Linear Network Coding on GPUs
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    Chapter 7 Preliminary Implementation of PETSc Using GPUs
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    Chapter 8 Multi-scale Continuum-Particle Simulation on CPU–GPU Hybrid Supercomputer
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    Chapter 9 GPU Best Practices for HPC Applications at Industry Scale
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    Chapter 10 Simulation of 1D Condensing Flows with CESE Method on GPU Cluster
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    Chapter 11 Two-Way Coupled Sprays and Liquid Surface: A GPU-Based Multi-Scale Fluid Animation Method
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    Chapter 12 High Performance Implementation of Binomial Option Pricing Using CUDA
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    Chapter 13 Research of Acceleration MS-Alignment Identifying Post-Translational Modifications on GPU
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    Chapter 14 GPU Tuning for First-Principle Electronic Structure Simulations
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    Chapter 15 Nucleation and Reaction of Dislocations in Some Metals and Intermetallic Compound TiAl
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    Chapter 16 Large-Scale Numerical Weather Prediction on GPU Supercomputer
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    Chapter 17 Targeting Atmospheric Simulation Algorithms for Large, Distributed-Memory, GPU-Accelerated Computers
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    Chapter 18 Investigation of Solving 3D Navier–Stokes Equations with Hybrid Spectral Scheme Using GPU
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    Chapter 19 Correlation of Reservoir and Earthquake by Multi Temporal-Spatial Scale Flow Driven Pore-Network Crack Model in Parallel CPU and GPU Platform
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    Chapter 20 A Full GPU Simulation of Evolving Fracture Networks in a Heterogeneous Poro-Elasto-Plastic Medium with Effective-Stress-Dependent Permeability
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    Chapter 21 GPU Implementation of Multigrid Solver for Stokes Equation with Strongly Variable Viscosity
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    Chapter 22 High Rayleigh Number Mantle Convection on GPU
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    Chapter 23 High-Order Discontinuous Galerkin Methods by GPU Metaprogramming
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    Chapter 24 Accelerating Large-Scale Simulation of Seismic Wave Propagation by Multi-GPUs and Three-Dimensional Domain Decomposition
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    Chapter 25 Support Operator Rupture Dynamics on GPU
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    Chapter 26 A Geometric Multigrid Solver on GPU Clusters
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    Chapter 27 Accelerating 2-Dimensional CFD on Multi-GPU Supercomputer
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    Chapter 28 Efficient Rendering of Order Independent Transparency on the GPUs
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    Chapter 29 Performance Evaluation of Fast Fourier Transform Application on Heterogeneous Platforms
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    Chapter 30 Accurate Evaluation of Local Averages on GPGPUs
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    Chapter 31 Accelerating Swarm Intelligence Algorithms with GPU-Computing
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    Chapter 32 Asynchronous Parallel Logic Simulation on Modern Graphics Processors
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    Chapter 33 Implementations of Main Algorithms for Generalized Symmetric Eigenproblem on GPU Accelerator
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    Chapter 34 Using Mixed Precision Algorithm for LINPACK Benchmark on AMD GPU
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    Chapter 35 Parallel Lattice Boltzmann Method on CUDA Architecture
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    Chapter 36 Iterative Deblurring of Large 3D Datasets from Cryomicrotome Imaging Using an Array of GPUs
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    Chapter 37 WebViz: A Web-Based Collaborative Interactive Visualization System for Large-Scale Data Sets
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    Chapter 38 Interactive Visualization Tool for Planning Cancer Treatment
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    Chapter 39 High Throughput Heterogeneous Computing and Interactive Visualization on a Desktop Supercomputer
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    Chapter 40 GPU Solutions to Multi-scale Problems in Science and Engineering
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    Chapter 41 Three-Dimensional Reconstruction of Electron Tomography Using Graphic Processing Units (GPUs)
Attention for Chapter 18: Investigation of Solving 3D Navier–Stokes Equations with Hybrid Spectral Scheme Using GPU
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Chapter title
Investigation of Solving 3D Navier–Stokes Equations with Hybrid Spectral Scheme Using GPU
Chapter number 18
Book title
GPU Solutions to Multi-scale Problems in Science and Engineering
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-16405-7_18
Book ISBNs
978-3-64-216404-0, 978-3-64-216405-7
Authors

Ying Xu, Lei Xu, D. D. Zhang, J. F. Yao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Chemistry 1 100%