![]() Secondly, we are going to set up and build a sample project in Visual Studio 2019 on our host machine, and we will deploy and run this application on the target. So, first of all, we are going to set up our target machine and install our target installer and Intel oneAPI runtime dependencies there. We also need to have the compiler runtime libraries. I'm using the one from the beginning of January. ![]() On the target machine, we need to have the Visual Studio Remote Debugger, which matches the version of your Visual Studio, and we also need a recent enough graphics driver. On the host machine, we expect that there is a Visual Studio installed as well as IntelĀ® one API Base Toolkit. For us, that means that we cannot run Visual Studio* on the same machine where your data parallel C++ app is running, and we have to use two machines. When we debug the GPU, GPU is halted, and no graphics output is available. Hi, my name is Natalia and in this video I'm going to show you how to set up IntelĀ® Distribution for GDB* on Windows* system for debugging DPC++ applications with the GPU offload.
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