Donate The following video goes through how to run nvprof from the command prompt.  I am in a Windows environment with CUDA Toolkit 9 and Visual Studio 2017 installed.  Subscribe to the Cuda Education YouTube channel, follow on twitter @cudaeducation […]

A very simple example of transferring data from the device (GPU) to the host (CPU) using CUDA. If you have any questions, contact me on twitter @cudaeducation or comment on the YouTube video. Download code: CUDA Transfer Data from Host to […]

Ray tracing is the latest and greatest technology in graphics processing today.  It’s all made possible by nVidia graphics cards running CUDA.  Just a little motivation for everyone to keep learning how to program the graphics chips. No can see […]

A quick comparison of GPU programming vs. CPU programming and the battles one has to face when programming in parallel.

Use the nVidia DeepStream SDK to identify objects such as a car’s color, type and make using artificial intelligence. It uses CUDA to pre-process the data and gain insights through TensorRT. It is available for nVidia Tesla and Jetson. DeepStream […]

Just discovered the CUDA GPU Occupancy Calculator spreadsheet that will help you increase the occupancy ratio of your applications. Occupancy is defined as [active warps]/[maximum warps]. You will always want your device cores to be used to its fullest potential […]

Hey everyone.  I just stumbled across an excellent introduction to OpenGL to CUDA programmers.  It is a great way to bridge the gap between GPU programming and graphics visualization.  I learned a lot myself.. http://www.nvidia.com/content/gtc/documents/1055_gtc09.pdf Remember to donate to the […]

UPDATE: This video and content applies to CUDA Toolkit 9.  I have since moved to CUDA Toolkit 10 and I didn’t have any of these issues. So you are combing through the internet trying to find a way to successfully […]

  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 […]