Explanation
Vulkan GPU Computing is a training course for performing graphics processing and computing in Vulkan, published by Udemy Academy. Using the Vulkan API, programmers and developers can use parallel computing and processing techniques and significantly increase the speed of various processes. During this course, you will learn how to start a raw project with the Vulkan library. This project will be equipped with parallelization capabilities and will execute these processes exclusively on the GPU. Vulkan is a library for designing 3D environments and rendering graphics, which is published in a cross-platform and multi-purpose format. Vulcan is really the winner of OpenGL.
This library was first released in 2016 and is now able to run and run on almost all operating systems. All operators and operators in the Vulcan library are written in the C programming language.
What you will learn about GPU computing with Vulkan:
- Read the properties and limitations of graphics adapters for different systems
- Allocating the GPU logic hardware and its queue to execute different programs
- Allocating GPU memory for different tasks and reading and accessing different information
- Creating command archives and recording various actions
- Create a fragment image on the graphics card
- Comparison of the final result and the speed of GPU and CPU calculations and processing
- And…
Course guidelines
Publisher: Udemy
Instructor: Miloslav Stofa
Language: English
Level: Medium
Number of Lessons: 22
Duration: 3 hours and 12 minutes
course topics
GPU Computing for Vulkan Requirements
Programming experience
Interest in parallel execution
Interest in quick execution of small tasks
Pictures
GPU computing in Vulkan introduction video
installation guide
After the launch, follow your favorite player
English language
Quality: 720p
download link
Password file: free download software
size
1.5 GB