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Numerical Computations with GPUs

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Cover of 'Numerical Computations with GPUs'

Table of Contents

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    Book Overview
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    Chapter 1 Accelerating Numerical Dense Linear Algebra Calculations with GPUs
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    Chapter 2 A Guide for Implementing Tridiagonal Solvers on GPUs
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    Chapter 3 Batch Matrix Exponentiation
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    Chapter 4 Efficient Batch LU and QR Decomposition on GPU
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    Chapter 5 A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems
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    Chapter 6 Sparse Matrix-Vector Product
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    Chapter 7 Solving Ordinary Differential Equations on GPUs
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    Chapter 8 GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems
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    Chapter 9 Finite and Spectral Element Methods on Unstructured Grids for Flow and Wave Propagation Problems
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    Chapter 10 A GPU Implementation for Solving the Convection Diffusion Equation Using the Local Modified SOR Method
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    Chapter 11 Finite-Difference in Time-Domain Scalable Implementations on CUDA and OpenCL
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    Chapter 12 Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach
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    Chapter 13 Monte Carlo Automatic Integration with Dynamic Parallelism in CUDA
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    Chapter 14 GPU: Accelerated Computation Routines for Quantum Trajectories Method
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    Chapter 15 Monte Carlo Simulation of Dynamic Systems on GPU’s
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    Chapter 16 Fast Fourier Transform (FFT) on GPUs
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    Chapter 17 A Highly Efficient FFT Using Shared-Memory Multiplexing
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    Chapter 18 Increasing Parallelism and Reducing Thread Contentions in Mapping Localized N-Body Simulations to GPUs
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Title
Numerical Computations with GPUs
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-06548-9
ISBNs
978-3-31-906547-2, 978-3-31-906548-9
Editors

Volodymyr Kindratenko

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
China 1 <1%
Egypt 1 <1%
United States 1 <1%
Croatia 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 36%
Researcher 20 18%
Student > Master 9 8%
Professor 8 7%
Student > Doctoral Student 8 7%
Other 15 13%
Unknown 12 11%
Readers by discipline Count As %
Engineering 36 32%
Computer Science 19 17%
Physics and Astronomy 16 14%
Earth and Planetary Sciences 10 9%
Mathematics 9 8%
Other 8 7%
Unknown 14 13%