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Niederreiter Quasirandom Sequence Generator ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample implements Niederreiter Quasirandom Sequence Generator and Inverse Cumulative Normal Distribution function for Standart Normal Distribution generation. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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DCT8x8 ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample demonstrates how Discrete Cosine Transform (DCT) for blocks of 8 by 8 pixels can be performed using CUDA: a naive implementation by definition and a more traditional approach used in many libraries. As opposed to implementing DCT in a fragment shader, CUDA allows for an easier and more efficient implementation.
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Marching Cubes Isosurfaces ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample extracts a geometric isosurface from a volume dataset using the marching cubes algorithm. It uses the scan (prefix sum) function from the CUDPP library to perform stream compaction. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Monte Carlo Option Pricing with multi-GPU support ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample evaluates fair call price for a given set of European options using the Monte Carlo approach, taking advantage of all CUDA-capable GPUs installed in the system. This sample use double precision hardware if a GTX 200 class GPU is present. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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FFT Ocean Simulation ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample simulates an Ocean heightfield using CUFFT and renders the result using OpenGL. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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FFT-Based 2D Convolution ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample demonstrates how 2D convolutions with very large kernel sizes can be efficiently implemented using FFT transformations. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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MersenneTwister ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample implements Mersenne Twister random number generator and Cartesian Box-Muller transformation on the GPU. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Monte Carlo Option Pricing ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample evaluates fair call price for a given set of European options using Monte Carlo approach. This sample use double precision hardware if a GTX 200 class GPU is present. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Binomial Option Pricing ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample evaluates fair call price for a given set of European options under binomial model. This sample will also take advantage of double precision if a GTX 200 class GPU is present. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Image denoising ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample demonstrates two adaptive image denoising technqiues: KNN and NLM, based on computation of both geometric and color distance between texels. While both techniques are implemented in the DirectX SDK using shaders, massively speeded up variation of the latter techique, taking advantage of shared memory, is implemented in addition to DirectX counterparts. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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DirectX Texture Compressor (DXTC) ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
High Quality DXT Compression using CUDA.
This example shows how to implement an existing computationally-intensive CPU compression algorithm in parallel on the GPU, and obtain an order of magnitude performance improvement. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Fluids (Direct3D Version) ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
An example of fluid simulation using CUDA and CUFFT, with Direct3D 9 rendering. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Line of Sight ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample is an implementation of a simple line-of-sight algorithm: Given a height map and a ray originating at some observation point, it computes all the points along the ray that are visible from the observation point. The implementation is based on the parallel scan primitive provided by the CUDPP library (http://www.gpgpu.org/developer/cudpp/). |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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N-Body Simulation ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample demonstrates efficient all-pairs simulation of a gravitational n-body simulation in CUDA. This sample accompanies the GPU Gems 3 chapter "Fast N-Body Simulation with CUDA". |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Parallel Reduction ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
A parallel sum reduction that computes the sum of large arrays of values. This sample demonstrates several important optimization stratezies for parallel algorithms like reduction. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Fast Walsh Transform ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
Naturally(Hadamard)-ordered Fast Walsh Tranform for batched vectors of arbitrary eligible(power of two) lengths |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Eigenvalues ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
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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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Sobel Filter ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This sample implements the Sobel edge detection filter for 8-bit monochrome images. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Scan ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This example demonstrates an efficient CUDA implementation of parallel prefix sum, also known as "scan". Given an array of numbers, scan computes a new array in which each element is the sum of all the elements before it in the input array. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Scan of Large Arrays ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
This example demonstrates an efficient CUDA implementation of parallel prefix sum (also known as "scan") for arbitrary-sized arrays. Given an array of numbers, scan computes a new array in which each element is the sum of all the elements before it in the input array. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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Fluids (OpenGL Version) ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
An example of fluid simulation using CUDA and CUFFT, with OpenGL rendering. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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1D Discrete Haar Wavelet Decomposition ![For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon.](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/link.jpg)
Discrete Haar wavelet decomposition for 1D signals with a length which is a power of 2. |
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![Minimum Required GPU](http://developer.download.nvidia.com/compute/cuda/sdk/website/images/GEF8_2D_wte.gif)
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