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Setup

This document covers the setup, build and runtime process for the cpu detect functionality. Documentation can be found on google drive link Note: This is the Windows API based information for MTL release

Step 1: Download the sample code

Sample code can be cloned from https://github.com/rrwinterton/cpudetect

Step 2: Import into VS 2022

Import the C++ files to VC 2022, this will create a new vcxproj file (Note current code also has existing vcxproj file which can be used for VC2019) Pls update the project file to include the header files in the include/ folder for compile Pls update the project file to include the library files in the lib/ folder for the linking during build

Step 3: Building the code

Cmake file is included with the code which can be imported into VS for generating build files. These can also be run from the command prompt

Launch a Developer Command Prompt for Visual Studio 2019. Run cmake -S . -B build from unzipped folder.
Runcmake --build build --config <configuration> where configuration is Debug or Release

For Visual Studio click on 'Build' option in Toolbar and select 'Release-x64' option to build the code

Pre-MTL code runtime flow

Code starts in main() function, enters ADL or legacy cpudetect code Updated to include memory information and GPU driver version

MTL/ARL code runtime flow

Code starts in main() function, MTL/ARL native code detection is executed first Updated to include memory information and GPU, NPU driver version

Running CPU detect

Execute cpudetect

cd build\<configuration>
cpudetect.exe to run the C++ sample application