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GPU Solutions to Multi-scale Problems in Science and Engineering

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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)
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Citations

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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
ISBNs
978-3-64-216404-0, 978-3-64-216405-7, 978-3-66-250691-2
Authors

Yuen, David A, Wang, Long, Chi, Xuebin, Johnsson, Lennart, Ge, Wei, Shi, Yaolin

Editors

David A. Yuen, Long Wang, Xuebin Chi, Lennart Johnsson, Wei Ge, Shi Yaolin

Twitter Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Canada 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Master 10 18%
Researcher 9 16%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Other 8 15%
Unknown 5 9%
Readers by discipline Count As %
Engineering 18 33%
Computer Science 13 24%
Earth and Planetary Sciences 8 15%
Materials Science 2 4%
Mathematics 1 2%
Other 5 9%
Unknown 8 15%