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FFT Ocean Simulation 
This sample simulates an Ocean heightfield using CUFFT and renders the result using OpenGL. |
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 or later
Download - Windows x86
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Separable Convolution
This sample implements a separable convolution filter of a 2D signal with a gaussian kernel. |
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or later
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Texture-based Separable Convolution
Texture-based implementation of a separable 2D convolution with a gaussian kernel. Used for performance comparison against convolutionSeparable. |
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or later
Download - Windows x86
Download - Windows x64
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FFT-Based 2D Convolution
This sample demonstrates how 2D convolutions with very large kernel sizes can be efficiently implemented using FFT transformations. |
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or later
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Matrix Transpose
Efficient matrix transpose. |
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or later
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Scalar Product
This sample calculates scalar products of a given set of input vector pairs. |
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or later
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Fast Walsh Transform
Naturally(Hadamard)-ordered Fast Walsh Tranform for batched vectors of arbitrary eligible(power of two) lengths |
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or later
Download - Windows x86
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Eigenvalues
The computation of all or a subset of all eigenvalues is an important problem in linear algebra, statistics, physics, and many other fields. This sample demonstrates a parallel implementation of a bisection algorithm for the computation of all eigenvalues of a
tridiagonal symmetric matrix of arbitrary size with CUDA. |
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or later
Download - Windows x86
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Matrix Multiplication (Driver Version)
This sample implements matrix multiplication using the CUDA driver API.
It has been written for clarity of exposition to illustrate various CUDA programming principles, not with the goal of providing the most performant generic kernel for matrix multiplication.
CUBLAS provides high-performance matrix multiplication. |
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or later
Download - Windows x86
Download - Windows x64
Download - Linux/Mac
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Simple CUBLAS
Example of using CUBLAS. |
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or later
Download - Windows x86
Download - Windows x64
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Matrix Multiplication
This sample implements matrix multiplication and is exactly the same as Chapter 6 of the programming guide.
It has been written for clarity of exposition to illustrate various CUDA programming principles, not with the goal of providing the most performant generic kernel for matrix multiplication.
CUBLAS provides high-performance matrix multiplication. |
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or later
Download - Windows x86
Download - Windows x64
Download - Linux/Mac
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