Introduction to Cuda Crash Course Thinking Spatially
Let's dive into the details surrounding Cuda Crash Course Thinking Spatially. In this video we look at examples of how to
Cuda Crash Course Thinking Spatially Comprehensive Overview
In this video we go over our baseline parallel sum reduction code we will be optimizing over the next 6 videos! For code samples: ... In this video we look at padding, and how to handle non-perfect input sizes! For code samples: http://github.com/coffeebeforearch ... In this video we look at 1-D convolution using shared memory! For code samples: http://github.com/coffeebeforearch For live ...
In this video we look at the performance evaluation of different sum reduction implementations! Spreadsheet: ...
Summary & Highlights for Cuda Crash Course Thinking Spatially
- In this video we look at a basic 1-D convolution kernel in
- Lean how to program with Nvidia
- In this video we look at host pinned memory! NVIDIA Blog - https://devblogs.nvidia.com/how-optimize-data-transfers-
- What is
- In this video we go over our second optimization of our parallel sum reduction code to remove shared memory bank conflicts!
That wraps up our extensive overview of Cuda Crash Course Thinking Spatially.