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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry >
<name > cudaNvSci</name>
<cflags >
<flag > --std=c++11</flag>
</cflags>
<cuda_api_list >
<toolkit > cudaImportExternalMemory</toolkit>
<toolkit > cudaExternalMemoryGetMappedBuffer</toolkit>
<toolkit > cudaExternalMemoryGetMappedMipmappedArray</toolkit>
<toolkit > cudaImportExternalSemaphore</toolkit>
<toolkit > cudaSignalExternalSemaphoresAsync</toolkit>
<toolkit > cudaWaitExternalSemaphoresAsync</toolkit>
<toolkit > cudaDestroyExternalSemaphore</toolkit>
<toolkit > cudaDestroyExternalMemory</toolkit>
</cuda_api_list>
<description > <![CDATA[This sample demonstrates CUDA-NvSciBuf/NvSciSync Interop. Two CPU threads import the NvSciBuf and NvSciSync into CUDA to perform two image processing algorithms on a ppm image - image rotation in 1st thread & rgba to grayscale conversion of rotated image in 2nd thread. Currently only supported on Ubuntu 18.04]]> </description>
<devicecompilation > whole</devicecompilation>
<includepaths >
<path > ./</path>
<path > ../</path>
<path > ../../common/inc</path>
</includepaths>
<keyconcepts >
<concept level= "basic" > CUDA NvSci Interop</concept>
<concept level= "advanced" > Data Parallel Algorithms</concept>
<concept level= "advanced" > Image Processing</concept>
</keyconcepts>
<keywords >
<keyword > CUDA</keyword>
<keyword > CPP11</keyword>
</keywords>
<libraries >
<library os= "linux" > cuda</library>
<library framework= "true" os= "macosx" > CUDA</library>
<library > nvscibuf</library>
<library > nvscisync</library>
</libraries>
<librarypaths >
</librarypaths>
<nsight_eclipse > true</nsight_eclipse>
<primary_file > main.cpp</primary_file>
<required_dependencies >
<dependency > NVSCI</dependency>
</required_dependencies>
<scopes >
<scope > 1:CUDA Advanced Topics</scope>
<scope > 1:CUDA NvSciBuf/NvSciSync Interop</scope>
</scopes>
<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>
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<sm-arch > sm80</sm-arch>
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<supported_envs >
<env >
<platform > aarch64</platform>
</env>
<env >
<arch > x86_64</arch>
<platform > linux</platform>
</env>
</supported_envs>
<supported_sm_architectures >
<from > 6.0</from>
</supported_sm_architectures>
<title > CUDA NvSciBuf/NvSciSync Interop</title>
<type > exe</type>
</entry>
