Category: Parallel Processing / NVIDIA CUDA / GPU Programming

A new video tutorial on OpenGL CUDA Interoperability (95+ minutes long) is here! This tutorial will be based on a Windows machine and assumes you have CUDA Toolkit 10.1 installed on your machine. The tutorial includes example code and walks […]

An example of creating world-class graphics with the assistance of CUDA & OpenGL. Some serious processing!

Mark Harris from NVIDIA recently gave some advice on making your application faster by using cudaDeviceGetAttribute() instead of udaGetDeviceProperties() in specific cases. Check out the full details here: https://devblogs.nvidia.com/cuda-pro-tip-the-fast-way-to-query-device-properties/

If code in a .cu file calls CUDA Runtime API functions but contains no ‘__device__’ code, rename the file to .cpp and compile it with the host compiler. You’ll get faster compilation time, which adds up in a large project. […]

Learn how to use CUDA Graphs to make your application run faster and more efficiently. This video walkthrough shows you how to create CUDA Graphs by the Stream Capture Method and the Explicit API method. It also includes source code.

DeepStream SDK 4.0 is out now: https://developer.nvidia.com/deepstream-sdk It can run on Tesla T4,  V100, Jetson TX1, TX2, Nano and AGX Xavier. Enjoy!

A 10 minute video discussion about nvprof from the command prompt.

A 40 minute video discussion about CUDA Streams, including example code.