|
via Udemy |
Go to Course: https://www.udemy.com/course/vulkan-gpu-computing/
Certainly! Here's a comprehensive review and recommendation of the Vulkan compute shader course on Coursera: --- **Course Review and Recommendation: Vulkan Compute Shaders from Scratch** If you're a developer eager to harness the power of GPU computing with Vulkan, this Coursera course is an excellent stepping stone. Designed with a practical, code-focused approach, it simplifies the complex process of creating high-performance GPU programs using Vulkan, the modern successor to OpenGL. **What You Will Learn:** - How to set up a project from scratch, including creating Makefiles for easy build management. - The fundamentals of interacting with Vulkan to leverage GPU resources effectively. - How to query graphics adapter properties and understand their capabilities. - Steps to allocate GPU memory, create logical devices, and manage execution queues. - How to record commands and execute compute shaders to perform parallel calculations. - Applying compute shaders to generate fractal images, providing a tangible, visual project. - Comparing GPU and CPU performance to highlight the power of parallel processing. - Tips to transition smoothly into writing your own compute shaders and even explore basic 3D graphics. **Course Approach:** This course eschews deep theoretical discussions, focusing instead on hands-on coding how-tos. It is ideal for developers who prefer learning by doing rather than reading lengthy theoretical texts. Since the entire process is demonstrated using C, it remains accessible even for those familiar with other programming languages, although some prior programming experience is recommended. **Who Should Take This Course:** - Developers with basic programming skills and some familiarity with static libraries. - Those interested in GPU computing, parallel processing, or preparing for more advanced graphics programming in Vulkan. - Anyone wanting to see quick, visible results without wading through hundreds of lines of initial boilerplate code. **Pros:** - Practical, project-based learning with step-by-step instructions. - Focus on creating a working compute program, with immediate visual and performance results. - Clear explanations with well-structured code examples. - Accessible entry point into Vulkan, without overwhelming theoretical detail. **Cons:** - Limited theoretical background on graphics pipeline intricacies. - Focused exclusively on compute shaders; less coverage of the full graphics pipeline. - Some prior programming knowledge required to follow along effectively. **Final Verdict:** This Coursera course is highly recommended for developers looking to quickly dive into GPU compute programming with Vulkan. It provides a solid foundation for understanding how to set up, write, and execute compute shaders, making it a perfect starting point for those aiming to expand into 3D graphics or high-performance parallel computations. Whether you're a graphics developer or a computational scientist, the skills gained here will serve as a valuable toolkit for mastering Vulkan's capabilities. --- Would you like a shorter summary or a tailored version for a specific audience?
The course shows the simplest possible way to create a project utilizing Vulkan library to run a compute shader: From Makefile to the program performing very fast parallel calculations in GPU. Don't expect much theory, the course is intended for developers who prefer to see the code to learn "how to...".Vulkan is a cross plattform 3D graphics and computing library, successor of OpenGL. It was first released in 2016 and it is available on most of modern operating systems today.All functions and operations with Vulkan library are demonstrated using C language, in a very understandable way, suitable also for developers specialized in other languages. To fully understand the course, some experience in programming and using static libraries is required though.The course tries to lead you to visible results as soon as possible. Vulkan library usually requires to write hundreds (up to thousand) of lines to get first results and to understand what is happening inside, but here, the project grows while keeping your attention to all the dependencies.The course describes how to:Read properties and limits of the graphics adapters in the systemAllocate the GPU logical device and its execution queuesAllocate the GPU memory, read and write data from/to itcreate a command buffer, records actions in it and send it to the GPU queue for executionImplement data processing in a shader and execute in parallelGenerate a fractal image in the GPUCompare results of GPU and CPU computingCompare the speed of GPU and CPU computingAt the end, you'll be ready to write and execute your own compute shader using Vulkan library. Or, it gives a very good start to implement 3D graphics in Vulkan since you will already understand the principle and basics of Vulkan API.