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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
Attention for Chapter 16: Fast Fourier Transform (FFT) on GPUs
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Chapter title
Fast Fourier Transform (FFT) on GPUs
Chapter number 16
Book title
Numerical Computations with GPUs
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-06548-9_16
Book ISBNs
978-3-31-906547-2, 978-3-31-906548-9
Authors

Yash Ukidave, Gunar Schirner, David Kaeli

Editors

Volodymyr Kindratenko

View on publisher site

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