![]() I have uploaded the Sample VS 2010 Solution file which you can download from here. If you’re facing an issue, post it in the comments and I will respond. Note: I will keep this section updated with more commonly faced issues and their solutions. In case you cannot find the CUDA 3.2 Target and Props files, look here:Ĭ:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations Now you are all set to Build your project! Just tune in the right setting of your CUDA application from Projects –> CUDA C/C++ (Host and Device settings) and you’re all set to go. If you do not have VS 2008 on your machine then you won’t even see this option so make sure you have it installed: This will specify that you are using v90 C compiler for this project. Now go to Project –> Properties –> General and change Platform Toolset from V100 to v90. I have the main function written in the same file that sets up the kernel launch parameters and everything in-between □ I have given the download link of the complete CUDA Visual Studio 2010 template solution at the end of this blog. cu CUDA source file which has a simple kernel that adds a constant number to an integer vector. If you have installed CUDA Toolkit 3.2 and NSight 1.5 then you should see the following option: Now go to the Project’s Properties –> Build Customizations. ![]() Step 2: Specify Build Customization and Add CUDA Source File Open VS 2010 and create a new Visual C++ Empty Project: Now we’re ready to roll! Step 1: Creating an Empty Project Make sure you enable NSight for both VS 2008 and VS 2010. Without NSight, you will have to manually specify the CUDA properties and target files so in order to avoid that, better download and install NSight ( link). Now the reason why you need to have NSight installed. Also make sure you have the right Windows SDK (or at least anything below Windows SDK v7.0 which is automatically installed with VS 2010). These are the configurations used for tuning heuristics. For GPUs prior to Volta (that is, Pascal and Maxwell), the recommended configuration is cuDNN 9.0.0 with CUDA 11.8. The latest CUDA Toolkit 3.2 does not has support for the VS100 C compiler and hence the reason why you still need to have Visual Studio 2008 installed on your machine. For best performance, the recommended configuration for GPUs Volta or later is cuDNN 9.0.0 with CUDA 12.3. ![]() So this is what I have in addition to the above: NVIDIA CUDA SDK 3.2 (Download from here)Īnd yes, you need to have Visual Studio 2008 installed or at least you should have VC90 C compiler on your machine with the appropriate Windows SDK. ![]() NSight Host and Monitor 1.5 (Download from here).NVIDIA CUDA Toolkit 3.2 (Download from here).Visual Studio 2010 running on Windows 7 圆4.I have used the following for this guide: This blog explains the steps involved in making CUDA work on the new Visual Studio 2010. Now there’s a whole new bunch of modules that need to be specified in order to make a set of custom build rules to work with Visual Studio 2010 project. With the new VS 2010, you cannot define custom build rules with. A whole bunch of new features and removal of a couple of them. Tags: cuda 9 compute capability, cuda 9 installation guide, cuda 9 visual studio 2017, cuda 9.0 compatibility, cuda 9.0 compute capability, cuda 9.0 install, cuda 9.0 installation guide, cuda 9.0 visual studio 2017, cuda compute capability check, cuda download 9, cuda download 9.0, cuda educaiton, cuda education toolkit 9.0, cuda toolkit, cuda toolkit 10 tutorial, cuda toolkit 9, cuda toolkit 9 download, cuda toolkit 9 installation guide, cuda toolkit 9 walkthrough, cuda toolkit 9.0, cuda toolkit 9.0 tutorial, cuda toolkit 9.1, cuda toolkit tutorial, cuda toolkit visual studio 2017, cuda toolkit walkthrough, cuda visual studio, cuda visual studio 2015, cuda visual studio 2017, cuda visual studio code, cuda visual studio community edition, cuda windows environment, cudatoolkit, download cuda toolkit 9.0, how tio install cuda toolkit, how to install cuda, how to install cuda toolkit, how to install cuda toolkit 10, how to install cuda toolkit 9, how to install cuda with visual studio, install cuda toolkit 9.0, nvidia cuda tutorial, nvidia cuda visual studio, nvidia geforce programming, nvidia gpu programming, nvidia gtx programming, nvidia rtx programming, nvidia tesla programming, programming guide cuda toolkit, programming guide cuda toolkit 9, using cuda with visual studio 2017, visual studio 2017 cuda, visual studio 2017 cuda 9.0, visual studio code cuda, visual studio code generation, visual studio cuda, visual studio for cuda 9.Microsoft has given a complete facelift to the new Visual Studio 2010. ![]()
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