From e82ab4c88437fa2c4c9a5ed9f7fde43d7f6a9f40 Mon Sep 17 00:00:00 2001 From: Kai Ninomiya Date: Sat, 29 Aug 2015 15:42:07 -0400 Subject: [PATCH] Update for CUDA 7.5 RC --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 3d9de45..526f9a6 100644 --- a/README.md +++ b/README.md @@ -50,6 +50,7 @@ Skip this part if you are developing on a lab computer. * http://www.seas.upenn.edu/cets/software/msdn/ * You need C++ support. None of the optional components are necessary. 3. Install [CUDA 7](https://developer.nvidia.com/cuda-downloads?sid=925343). + * CUDA 7.5 is recommended. * Use the Express installation. If using Custom, make sure you select Nsight for Visual Studio. 4. Install [CMake](http://www.cmake.org/download/). @@ -126,7 +127,7 @@ just rebuild your VS/Nsight project to make it update itself. (**NOTE:** you must use Win64, as we don't provide libraries for Win32.) * If you see an error like `CUDA_SDK_ROOT_DIR-NOTFOUND`, set `CUDA_SDK_ROOT_DIR` to your CUDA install path. This will be something - like: `C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v7.0` + like: `C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v7.5` * Click *Generate*. 5. If generation was successful, there should now be a Visual Studio solution (`.sln`) file in the `build` directory that you just created. Open this. @@ -150,7 +151,7 @@ It is recommended that you use Nsight. 4. Open Nsight. Set the workspace to the one *containing* your cloned repo. 5. *File->New->Makefile Project with Existing Code*. * Set the *Existing Code Location* to the cloned project directory. - * Select *CUDA Toolkit 7.0*. + * Select *CUDA Toolkit*. * *Finish*. 6. Select the *cis565-* project in the Project Explorer. From the *Project* menu, select *Build All*. @@ -182,7 +183,7 @@ rest of your development on the lab computer. 1. Go to the Nsight menu in Visual Studio. 2. Select *Start Performance Analysis...*. -3. Select *Trace Application*. +3. Select *Trace Application*. Under *Trace Settings*, enable tracing for CUDA and OpenGL. 4. Under *Application Control*, click *Launch*. 5. Run the program for a few seconds, then close it. 6. At the top of the report page, select *Timeline* from the drop-down menu.