NVIDIA OpenCL SDK Code Samples

The GPU Computing SDK includes 100+ code samples, utilities, whitepapers, and additional documentation to help you get started developing, porting, and optimizing your applications for the CUDA architecture. You can get quick access to many of the SDK resources on this page, SDK documentation, or download the complete SDK.

Please note that you may need to install the latest NVIDIA drivers and CUDA Toolkit to compile and run the code samples.

Refer to the SDK release notes for more information.
OpenCL Multi Threads 

This sample shows the implementation of multi-threaded heterogeneous computing workloads with tight cooperation between CPU and GPU. The new OpenCL 1.1 features user events, thread-safe API calls and event callbacks are utilized.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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Using Inline PTX with OpenCL 

A simple test application that demonstrates a new CUDA 4.0 driver ability to embed PTX in a OpenCL kernel.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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Marching Cubes Isosurfaces 

This sample extracts a geometric isosurface from a volume dataset using the marching cubes algorithm. It uses the scan (prefix sum) function from the oclScan SDK sample to perform stream compaction. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Tridiagonal 

Efficient matrix solvers for large number of small independent tridiagonal linear systems. OpenCL implementation of 3 different solvers: Parallel Cyclic Reduction, Cyclic Reduction, Sweep (Gauss elimination + reordering optimization for full coalescing).		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Device Query 

This sample enumerates the properties of the OpenCL devices present in the system.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Bandwidth Test 

This is a simple test program to measure the memcopy bandwidth of the GPU. It currently is capable of measuring device to device copy bandwidth, host to device and host to device copy bandwidth for pageable and page-locked memory, memory mapped and direct access.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Vector Addition 

Element by element addition of two 1-dimensional arrays. Implemented in OpenCL for CUDA GPU's, with functional comparison against a simple C++ host CPU implementation.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Dot Product 

Dot Product (scalar product) of set of input vector pairs. Implemented in OpenCL for CUDA GPU's, with functional comparison against a simple C++ host CPU implementation.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Matrix Vector Multiplication 

Simple matrix-vector multiplication example showing increasingly optimized implementations.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Overlapped Copy/Compute Sample 

Element by element hypotenuse for two 1-dimensional arrays. Implemented in OpenCL for CUDA GPU's, with functional comparison against a simple C++ host CPU implementation. Demonstrates overlapped copy/compute in 2 command queues		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Simple Multi-GPU 

This application demonstrates how to make use of multiple GPUs in OpenCL. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Simple OpenGL Interop 

Simple program which demonstrates interoperability between OpenCL and OpenGL. The program modifies vertex positions with OpenCL and uses OpenGL to render the geometry.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Scan 

This example demonstrates an efficient OpenCL 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.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Parallel Reduction 

A parallel sum reduction that computes the sum of large arrays of values. This sample demonstrates several important optimization strategies for parallel algorithms like reduction.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Matrix Transpose 

Efficient matrix transpose.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL 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 OpenCL programming principles, not with the goal of providing the most performant generic kernel for matrix multiplication. CUBLAS provides high-performance matrix multiplication.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL 3D FDTD 

This sample applies a finite differences time domain progression stencil on a 3D surface.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL DCT 8x8 

This sample demonstrates how Discrete Cosine Transform (DCT) for 8x8 blocks can be implemented in OpenCL.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL DirectX Texture Compressor (DXTC) 

High Quality DXT Compression using OpenCL. 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.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU



Whitepaper
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OpenCL Radix Sort 

This sample demonstrates a very fast and efficient parallel radix sort implemented in OpenCL for CUDA GPUs.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Sorting Networks 

This sample implements bitonic sort algorithm for batches of short arrays		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Black-Scholes Option Pricing 

This sample evaluates fair call and put prices for a given set of European options by Black-Scholes formula.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU



Whitepaper
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OpenCL Hidden Markov Model 

This sample implements a Hidden Markov Model in OpenCL for the GPU.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Quasirandom Generator 

This sample implements Niederreiter quasirandom number generator and Moro's Inverse Cumulative Normal Distribution generator.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Mersenne Twister 

This sample implements Mersenne Twister random number generator and Cartesian Box-Muller transformation on the GPU.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL 64-bin and 256-bin Histogram 

This sample demonstrates efficient implementation of 64-bin and 256-bin histograms.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU



Whitepaper
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OpenCL Post-Process OpenGL-Rendered Image 

This sample shows how to post-process an image rendered in OpenGL using OpenCL.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Simple Texture 3D 

Simple example that demonstrates use of 3D textures in OpenCL.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Box Filter 

Linear 2-dimensional variable-width Box Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Sobel Filter 

2-dimensional 3x3 Sobel Magnitude Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Gradient magnitude for each of the R, G & B channels is computed concurrently and independently, then combined into a single gradient intensity with linear weighting factors.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Median Filter 

Multi-GPU enabled, 2-dimensional 3x3 Median Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G & B channels are treated independently with results computed concurrently for each.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Separable Convolution 

This sample implements convolution filter of a 2D image with arbitrary separable kernel.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Recursive Gaussian Filter 

2-dimensional Gaussian Blur Filter of RGBA image using IRF method. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Volume rendering 

This sample demonstrates basic volume rendering using 3D textures.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL Particle Collision Simulation 

Simulation of elastic collisions of a large # of bodies. Implemented in OpenCL for CUDA GPU's.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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OpenCL N-Body Physics Simulation 

Gravitational Simulation of a large # of bodies. Implemented in OpenCL for CUDA GPU's.		   Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU




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Last Update: 1/10/2012