Complete AMD GPU Programming for Beginners 12+ Hours

Complete AMD GPU Programming for Beginners 12+ Hours, available at $64.99, has an average rating of 3.45, with 16 lectures, based on 12 reviews, and has 135 subscribers.

You will learn about Learn about AMD GPU programming HPC knowladge including Slurm Concepts from CUDA programming Basic workflow of parallel algorithms This course is ideal for individuals who are Students, researchers and developers willing to learn one of the most interesting and in-demand techniques covering the latest AMD GPU techs It is particularly useful for Students, researchers and developers willing to learn one of the most interesting and in-demand techniques covering the latest AMD GPU techs.

Enroll now: Complete AMD GPU Programming for Beginners 12+ Hours

Summary

Title: Complete AMD GPU Programming for Beginners 12+ Hours

Price: $64.99

Average Rating: 3.45

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Learn about AMD GPU programming
HPC knowladge including Slurm
Concepts from CUDA programming
Basic workflow of parallel algorithms

Who Should Attend

Students, researchers and developers willing to learn one of the most interesting and in-demand techniques covering the latest AMD GPU techs

Target Audiences

Students, researchers and developers willing to learn one of the most interesting and in-demand techniques covering the latest AMD GPU techs

Learn parallel programming on AMD GPU’s with ROCm and HIP from basic concepts to advance implementations. We will start our discussion by looking at basic concepts including AMD GPU programming, execution model, and memory model. Then we will show you how to implement algorithms using ROCm and HIP.

This course is designed to teach you modern AMD GPU programming and graphics techniques without any prior knowledge of graphical theory. All you need is some C++ experience and preferably an understanding of algorithms. It compiles information about HPC, Slurm, CUDA and some basic mathematical concepts.

This course is the first course on the AMD GPU programming series covers the concepts. So the knowledge you gain here will be essential for your next AMD GPU learning ventures. This course will receive constant support, to ensure you learn everything there is to know, beyond just the basics that most other courses will teach you.

Enroll right now to learn some of the coolest techniques and boost your career with your new skills. This course is not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in on the GPUs internally. If you want more than just a superficial look on GPUs, this course is for you. Credits: cover image model adapted from Freepik and some videos are adapted from creative commons AMD GPU workshops.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Slurm

Lecture 3: AMD GPUs

Lecture 4: AMD Concepts

Chapter 2: AMD Architecture

Lecture 1: GPU Architectures

Chapter 3: HIP Programming

Lecture 1: HIP Programming Basics

Lecture 2: Kernels HIP

Lecture 3: HIP Memory Models

Lecture 4: HIP Matrix and Syncs

Lecture 5: HIP Tools

Lecture 6: HIP Performance Tuning

Chapter 4: NVIDIA CUDA to AMD HIP Coversion

Lecture 1: HIPify

Chapter 5: AMD HIP Libraries

Lecture 1: Libraries

Lecture 2: Advanced Libraries

Chapter 6: AMD GPU Multiscaling

Lecture 1: GPU Multiscaling

Chapter 7: AMD HIP Programming Codes

Lecture 1: Code examples

Instructors

Scientific Programming School
Interactive Learning Platform

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 3 votes
4 stars: 3 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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