CUDA programming Masterclass with C++

Name: CUDA programming Masterclass with C++
Rating: 4.2 (1082 reviews)

Learn parallel programming on GPU's with CUDA from basic concepts to advance algorithm implementations.

Bestseller

(1,082 ratings)

7,557 students

Created by Kasun Liyanage

Last updated 11/2021

English

What you'll learn

All the basic knowladge about CUDA programming
Ability to desing and implement optimized parallel algorithms
Basic work flow of parallel algorithm design

Requirements

Basic C or C++ programming knowladge
How to use Visual studio IDE
CUDA toolkit
Nvidia GPU

Description

This course is all about CUDA programming. We will start our discussion by looking at basic concepts including CUDA programming model, execution model, and memory model. Then we will show you how to implement advance algorithms using CUDA. CUDA programming is all about performance. So through out this course you will learn multiple optimization techniques and how to use those to implement algorithms. Also we will extensively discuss profiling techniques and some of the tools including nvprof, nvvp, CUDA Memcheck, CUDA-GDB tools in the CUDA toolkit. This course contains following sections.

Introduction to CUDA programming and CUDA programming model

CUDA Execution model

CUDA memory model-Global memory

CUDA memory model-Shared and Constant memory

CUDA streams

Tuning CUDA instruction level primitives

Algorithm implementation with CUDA

CUDA tools

With this course we include lots of programming exercises and quizzes as well. Answering all those will help you to digest the concepts we discuss here.

This course is the first course of the CUDA master class series we are current working on. So the knowledge you gain here is essential of following those course as well.

Who this course is for:

Any one who wants to learn CUDA programming from scartch to intermidiate level

Featured review

Rohit S.

7 courses

4 reviews

3 years ago

The course is really well structured and covers the concepts at just the right pace and with the right combination of theoretical background and implementation in practice. This is a good place to start learning parallel programming.

Kasun Liyanage

Software engineer & founder of intellect, co founder at cpphive

4.0 Instructor Rating
2,514 Reviews
19,628 Students
4 Courses

Software engineer with years of experience in industry with c++ and java programming language. And entrepreneur and founder of intellect. creator of GPU MLIB library which provides GPU optimized parallel implementation of machine learning algorithms. My current project include fashion design framework which allows user to get the live fit on room experience. I am graduate on electrical and information engineering and i currently reading for master in artificial intelligence.