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<h2>NVIDIA CUDA Code Samples</h2>
<p>The CUDA Toolkit 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 toolkit resources on this page, <a href="http://developer.nvidia.com/nvidia-gpu-computing-documentation">CUDA Documentation</a>, or <a href="http://developer.nvidia.com/getcuda">download the complete toolkit.</a><br/>
<br/>Please note that you may need to install the latest <a href="http://www.nvidia.com/drivers">NVIDIA drivers</a> and <a href="http://www.nvidia.com/getcuda">CUDA Toolkit</a> to compile and run the code samples.<br/></p>
<p>Refer to this <a href="doc/CUDA_Samples.pdf">CUDA Samples Guide</a> for more information.</p>
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<tr>
<td colspan="3" class="separator"><a id="simpleCUDA2GL"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">CUDA and OpenGL Interop of Images </span><br/>
<br/>
<span class="description">This sample shows how to copy CUDA image back to OpenGL using the most efficient methods.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="3_Imaging/simpleCUDA2GL" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="jpegNPP"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">JPEG encode/decode and resize with NPP </span><br/>
<br/>
<span class="description">This sample demonstrates a simple image processing pipline. First, a JPEG file is huffman decoded and inverse DCT transformed and dequantized. Then the different plances are resized. Finally, the resized image is quantized, forward DCT transformed and huffman encoded.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="7_CUDALibraries/jpegNPP" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="cppOverload"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">cppOverload </span><br/>
<br/>
<span class="description">This sample demonstrates how to use C++ function overloading on the GPU.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="0_Simple/cppOverload" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="cdpQuadtree"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Quad Tree (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates Quad Trees implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="6_Advanced/cdpQuadtree" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="cdpLUDecomposition"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">LU Decomposition (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates LU Decomposition implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="6_Advanced/cdpLUDecomposition" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="cdpBezierTessellation"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Bezier Line Tesselation (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates bezier tesselation of lines implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
<p><span class="links">
<br />
<br />
<br />
<a href="6_Advanced/cdpBezierTessellation" name="path">Browse Files</a><br />
</span>
</p>
</td>
</tr>
<tr>
<td align="right" valign="top" >
</td>
</tr> <tr>
<td colspan="3" class="separator"><a id="cdpAdvancedQuicksort"><hr /></a></td>
</tr>
<tr>
<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Advanced Quicksort (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates an advanced quicksort implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Quicksort (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates simple quicksort implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Print (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample demonstrates simple printf implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_5_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">simpleHyperQ </span><br/>
<br/>
<span class="description">This sample demonstrates the use of CUDA streams for concurrent execution of several kernels on devices which provide HyperQ (SM 3.5). Devices without HyperQ (SM 2.0 and SM 3.0) will run a maximum of two kernels concurrently.</span></td>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">simpleDevLibCUBLAS GPU Device API Library Functions (CUDA Dynamic Parallelism) </span><br/>
<br/>
<span class="description">This sample implements a simple CUBLAS function calls that call GPU device API library running CUBLAS functions. This sample requires a SM 3.5 capable device.</span></td>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Bindless Texture </span><br/>
<br/>
<span class="description">This example demonstrates use of cudaSurfaceObject, cudaTextureObject, and MipMap support in CUDA. A GPU with Compute Capability SM 3.0 is required to run the sample.</span></td>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">CUDA Parallel Prefix Sum with Shuffle Intrinsics (SHFL Scan) </span><br/>
<br/>
<span class="description">This example demonstrates how to use the shuffle intrinsic __shfl_up to perform a scan operation across a thread block. A GPU with Compute Capability SM 3.0. is required to run the sample</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.geforce.com/hardware/desktop-gpus" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM3_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Static GPU Device Library </span><br/>
<br/>
<span class="description">This sample demonstrates a CUDA 5.0 feature, the ability to create a GPU device static library and use it within another CUDA kernel. This example demonstrates how to pass in a GPU device function (from the GPU device static library) as a function pointer to be called. This sample requires devices with compute capability 2.0 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Stereo Disparity Computation (SAD SIMD Intrinsics) </span><br/>
<br/>
<span class="description">A CUDA program that demonstrates how to compute a stereo disparity map using SIMD SAD (Sum of Absolute Difference) intrinsics. Requires Compute Capability 2.0 or higher.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple CUDA Callbacks </span><br/>
<br/>
<span class="description">This sample implements multi-threaded heterogeneous computing workloads with the new CPU callbacks for CUDA streams and events introduced with CUDA 5.0.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">simpleIPC </span><br/>
<br/>
<span class="description">This CUDA Runtime API sample is a very basic sample that demonstrates Inter Process Communication with one process per GPU for computation. Requires Compute Capability 2.0 or higher and a Linux Operating System
</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">CUDA Segmentation Tree Thrust Library </span><br/>
<br/>
<span class="description">This sample demonstrates an approach to the image segmentation trees construction. This method is based on Boruvka's MST algorithm.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/object/geforce_gtx_280.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_3_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">MersenneTwisterGP11213 </span><br/>
<br/>
<span class="description">This sample demonstrates the Mersenne Twister random number generator GP11213 in cuRAND.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">simpleAssert </span><br/>
<br/>
<span class="description">This CUDA Runtime API sample is a very basic sample that implements how to use the assert function in the device code. Requires Compute Capability 2.0 .
</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">GrabCut with NPP </span><br/>
<br/>
<span class="description">CUDA Implementation of Rother et al. GrabCut approach using the 8 neighborhood NPP Graphcut primitive introduced in CUDA 4.1. (C. Rother, V. Kolmogorov, A. Blake. GrabCut: Interactive Foreground Extraction using Iterated Graph Cuts. ACM Transactions on Graphics (SIGGRAPH'04), 2004)</span></td>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Cubemap Texture </span><br/>
<br/>
<span class="description">Simple example that demonstrates how to use a new CUDA 4.1 feature to support cubemap Textures in CUDA C.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Volumetric Filtering with 3D Textures and Surface Writes </span><br/>
<br/>
<span class="description">This sample demonstrates 3D Volumetric Filtering using 3D Textures and 3D Surface Writes.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">NewDelete </span><br/>
<br/>
<span class="description">This sample demonstrates dynamic global memory allocation through device C++ new and delete operators and virtual function declarations available with CUDA 4.0. </span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Optical Flow </span><br/>
<br/>
<span class="description">Variational optical flow estimation example. Uses textures for image operations. Shows how simple PDE solver can be accelerated with CUDA.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<a href="3_Imaging/HSOpticalFlow/doc/OpticalFlow.pdf" name="path">Whitepaper</a><br />
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Peer-to-Peer Transfers with Multi-GPU </span><br/>
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<span class="description">This application demonstrates the new CUDA 4.0 APIs that support Peer-To-Peer (P2P) copies, Peer-To-Peer (P2P) addressing, and UVA (Unified Virtual Memory Addressing) between multiple Tesla GPUs.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Using Inline PTX </span><br/>
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<span class="description">A simple test application that demonstrates a new CUDA 4.0 ability to embed PTX in a CUDA kernel.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Simple Layered Texture </span><br/>
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<span class="description">Simple example that demonstrates how to use a new CUDA 4.0 feature to support layered Textures in CUDA C.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/gtx400" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM2_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Image Segmentation using Graphcuts with NPP </span><br/>
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<span class="description">This sample that demonstrates how to perform image segmentation using the NPP GraphCut function.</span></td>
<td rowspan ="1" width="5" align="left" valign="top" class="verticalBder"> </td>
<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Histogram Equalization with NPP </span><br/>
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<span class="description">This SDK sample demonstrates how to use NPP for histogram equalization for image data.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce9.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_1_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">FreeImage and NPP Interopability </span><br/>
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<span class="description">A simple SDK sample demonstrate how to use FreeImage library with NPP.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Box Filter with NPP </span><br/>
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<span class="description">A NPP SDK sample that demonstrates how to use NPP FilterBox function to perform a Box Filter.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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<td width="71%" rowspan ="1" align="left" valign="top" class="title"><span class="itemName" name="path">Preconditioned Conjugate Gradient </span><br/>
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<span class="description">This sample implements a preconditioned conjugate gradient solver on GPU
using CUBLAS and CUSPARSE library.</span></td>
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<td rowspan ="1" align="right" valign="top" class="itemMinspec"><a href="http://www.nvidia.com/page/geforce8.html" name="MinimumGPU" target="_blank"><img src="releaseNotesData/SM1_0_2D_wte.gif" class="itemMinspec" alt="Minimum Required GPU" /></a><br /><a href="http://www.nvidia.com/object/tesla_computing_solutions.html"" name="MinimumGPU" target="_blank"><img src="releaseNotesData/tesla.gif" class="itemMinspec" alt="Minimum Required GPU" /></a>
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