This video walkthrough deals with creating a rectangle in OpenGL and managing indices in OpenGL. The video tutorial is 35+ minutes.
Tag: cuda education tutorial
OpenCV + CUDA Module | Video Walkthrough (1 hour 30 min.) | CMake Tutorial | Windows 10 | CUDA Toolkit 10 |
Use your NVIDIA GPU to make your computer vision project run faster! Below is a link to a detailed video walkthrough of adding the CUDA module to OpenCV on a Windows-based machine. The video walkthrough is 1 hour and 30 […]
Video Walkthrough (21+ min.) of using CUDA Pinned Memory | CudaMallocHost | Make your applications run faster
Learn how to use CUDA Pinned Memory to make your applications run faster. You can’t process if you don’t have the data! Pinned memory is used give your GPU data faster so it can keep busy processing. This is a […]
Install TensorFlow + TensorBoard + Keras + Anaconda Python in Windows | Video Walkthrough (19+ min.)
A video walkthrough of how to go about installing TensorFlow + TensorBoard + Keras + Anaconda Python on a Windows based machine. The video walkthrough is 19+ minutes long.
Video Walkthrough (32+ min.) of how to use CUDA Cooperative Groups | cooperative_groups | tiled_partition | coalesced_threads | thread_rank | thread_block | Includes Example Code
Learn how to use cooperative groups to make your parallel processing code more organized and manageable. The video walkthrough is 32+ minutes long and includes example source code.
#error — unsupported Microsoft Visual Studio version! Only the versions 2012, 2013, 2015 and 2017 are supported! | Line 133 | Line 707 | CUDA Error
Donate If you are getting the following error when running CUDA in Visual Studio 2017: then all you have to do is go to the menu bar at the top Project -> [your project name] Properties -> General […]
CUDA Programming Example | 20 Million Array Addition | CUDA Tutorial | CUDA Array Addition [UPDATED]
The following code is basically taking an array with 20 million integers and adding all the numbers together to get a final answer. I have heavily commented the code for your convenience. CREDIT: Professional CUDA C Programming by John […]