Description
GPU computing in Vulkan is a training course for performing graphics processing and calculations in the Vulkan programming interface, 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 training course, you will get to know the process of starting a raw project in the Vulkan library. This project will be equipped with parallel processing capability and will exclusively perform these processes on GPU. Vulkan is a library for designing 3D environments and performing graphic processing, which is published in cross-platform and multi-purpose form. Vulcan is actually the successor of OpenGL.
This library was first released in 2016 and now it is able to run and activate on almost all operating systems. All functions and operators of the Vulcan library are written using the C programming language.
What you will learn in the GPU computing in Vulkan training course:
- Read properties and limitations of graphics adapters in different systems
- Allocating the GPU logical device and its execution queue to different programs
- Allocating GPU memory to different tasks and reading and receiving different information from it
- Creating a command buffer and recording different actions
- Create a fractal image on the graphics card
- Comparison of the final result and the speed of GPU and CPU calculations and processing
- And …
Course details
Publisher: Yudmi
teacher: Miloslav Stofa
English language
Education level: Intermediate
Number of courses: 22
Training duration: 3 hours and 12 minutes
Course headings
GPU computing in Vulkan course prerequisites
Programming experience
Interest in parallel execution
Interest in fast execution of small routines
Course images
Introduction video of GPU computing in Vulkan course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.54 GB
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