cuda-samples/Samples/dct8x8/NsightEclipse.xml

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>dct8x8</name>
<description><![CDATA[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.]]></description>
<devicecompilation>whole</devicecompilation>
<files>
<file>data\barbara.bmp</file>
</files>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../Common</path>
</includepaths>
<keyconcepts>
<concept level="advanced">Image Processing</concept>
<concept level="advanced">Video Compression</concept>
</keyconcepts>
<keywords>
<keyword>CUDA</keyword>
<keyword>Image Processing</keyword>
<keyword>DCT</keyword>
<keyword>Discrete Cosine Transfrom</keyword>
</keywords>
<libraries>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>dct8x8.cu</primary_file>
<scopes>
<scope>1:CUDA Advanced Topics</scope>
<scope>2:Image Processing</scope>
<scope>2:Data Compression</scope>
<scope>2:Video Codecs</scope>
<scope>2:Computer Vision</scope>
</scopes>
<sm-arch>sm35</sm-arch>
<sm-arch>sm37</sm-arch>
<sm-arch>sm50</sm-arch>
<sm-arch>sm52</sm-arch>
<sm-arch>sm60</sm-arch>
<sm-arch>sm61</sm-arch>
<sm-arch>sm70</sm-arch>
<sm-arch>sm72</sm-arch>
<sm-arch>sm75</sm-arch>
<sm-arch>sm80</sm-arch>
<sm-arch>sm86</sm-arch>
<supported_envs>
<env>
<arch>x86_64</arch>
<platform>linux</platform>
</env>
<env>
<platform>windows7</platform>
</env>
<env>
<arch>x86_64</arch>
<platform>macosx</platform>
</env>
<env>
<arch>arm</arch>
</env>
<env>
<arch>ppc64le</arch>
<platform>linux</platform>
</env>
</supported_envs>
<supported_sm_architectures>
<include>all</include>
</supported_sm_architectures>
<title>DCT8x8</title>
<type>exe</type>
<whitepaper>doc\dct8x8.pdf</whitepaper>
</entry>