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Project0

Project 0 : Get CUDA set up and running

NOTE :

This project (and all other projects in this course) requires a NVIDIA graphics card with CUDA capabilityi! Any card with compute capability 2.0 and up will work. This means any card from the GeForce 400 and 500 series and afterwards will work. If you do not have a machine with these specs, feel free to use computers in the SIG Lab. All computers in SIG lab have CUDA capable cards and should already have the CUDA SDK installed.

Unlike other semesters, the computers in Moore 100 do NOT meet specifications. If you have any issue with accessing SIG lab, contact Harmony ([email protected]) as soon as possible.

PART 1 : INSTALL CUDA

WINDOWS

    1. Make sure you are running Windows XP/Vista/7 and that your graphics drivers are up to date. You will need support for OpenGL 4.0 or better in this class.
    1. Make sure you have installed Visual Studio 2010 (available for free to Penn Engineering students from MSDN Academic Alliance). Visual Studio 2012/3 should also be compatible with a little elbow grease and supports some of the newer features of C++11.
    1. Install the CUDA 4.0 (or greater) For Windows Toolkit, Development Drivers, and SDK from http://developer.nvidia.com/cuda/cuda-downloads or https://developer.nvidia.com/cuda-toolkit-archive. Make sure you download and install the appropriate versions of each package for your machine. (As of version 5.5 all three components are bundeled together in one package). We suggest installing CUDA 6.5, as later labs will also be using this.
    1. You're good to go! All Windows base code for CIS565 will make use of Visual Studio 2010 and will be distributed as Visual Studio 2010 projects.

MAC OSX

    1. Make sure you are running OSX 10.9. We will need OpenGL 4.0 support in this class, so 10.9 is mandatory if you are planning on using OS X.
    1. Make sure you have installed XCode (available for free from the App Store).
    1. Make sure you have installed the OSX Unix Command Line Development Tools (XCode->Preferences->Downloads->Command Line Tools->Install).
    1. Install the CUDA 4.0 (or greater) For Mac Toolkit, Development Drivers, and SDK from http://developer.nvidia.com/cuda/cuda-downloads or https://developer.nvidia.com/cuda-toolkit-archive. (As of version 5.5 all three components are bundeled together in one package).
    1. Install CMake from http://www.cmake.org/. (NOTE: Homebrew will only install version 2.8.11, and we are targeting 3.0.+) Unless there is a need, we will provide CMake files from which you can build the makefiles. If you have an issue with this, feel free to contact Harmony.
    1. You're good to go! All OSX base code for CIS565 will make use of the Unix make toolchain, hence the need for OSX Unix Command Line Development Tools.

PART 2 : FORK / CLONE PROJECT 0

    1. Use Github to fork this repository into your own account.
    1. Clone from Github onto your machine. NOTE : If you are unfamiliar with git, or would like a refresher, refer to this primer doc.

PART 3 : BUILD / RUN PROJECT 0

Project 0 is a simple program that demonstrates CUDA and OpenGL functionality and interoperability on systems that CUDA has been properly installed on. If the machine you are working on has CUDA properly set up and has OpenGL 4.0 support, then when you run CUDATEST, you should see a window displaying either two horizonal colored bars OR one solid color. What gets displayed depends on your graphics card, so your results will most likely vary from some or many of your classmates. The window title should be a combination of your name and the model of your graphics card.

Please note: The Windows version of Project 0 uses GLEW/freeglut, whereas the OSX version of Homework 0 uses GLFW. The two versions of CUDATEST are functionally the same and share the same CUDA code, but the GL harnesses for each are slightly different.

WINDOWS:

Contents:

The Windows version of CUDATEST is in the PROJ0_WIN/ folder. The contents of the folder are the following:

src/ contains the actual source code for CUDATEST external/ contains the libraries and includes for freeglut and glew To Build:

Open CIS565_PROJ_0.sln in Visual Studio 2010. The project should build straight from Visual Studio 2010 without modification.

To Run:

CIS565_PROJ_0 should run straight from Visual Studio 2010 without modification after building if CUDA has been installed properly on your machine.

OSX:

Contents:

The OSX version of must be generated and made from the command line.

To Generate: Create a new folder in and cd into it. Run 'cmake ../' from the folder. This will produce cmake cache files and a makefile.

To Build: Run 'make' from the folder you just created. This will produce an executable named CIS565_PROJ_0.

To Run: Run CIS565_PROJ_0 from the command line by calling it as a relative path from the current directory.

PART 4 : MODIFY AND SUBMIT

    1. Line 13 of main.cpp contains a variable string set by default to "Your Name Here". Replace "Your Name Here" with your name, rebuild, and run CUDATEST. Take a screenshot of Project 0 working on your machine.
    1. ADD your screenshot to your Git repository and check in your modified main.cpp and added screenshot.
  • 2.5 If you are using Windows, make sure your modified CUDATEST can run in the SIG Lab.
    1. Open a Pull Request so we can see that you have finished.
    1. Send an email to Harmony with your name, github account name, and the grade you believe you deserve.
    1. You're done with Homework 0!