Beginning CUDA Programming: Zero to Hero, First Course!

Beginning CUDA Programming: Zero to Hero, First Course!, available at $49.99, has an average rating of 3.6, with 43 lectures, 1 quizzes, based on 195 reviews, and has 3038 subscribers.

You will learn about GPU programming with CUDA Understanding the basics of GPU architecture Writing programs in CUDA language with the latest CUDA toolkit This course is ideal for individuals who are Any one who wants to learn CUDA programming (beginner level) or This course is your first step towards a new career with the Machine Learning and Deep learning It is particularly useful for Any one who wants to learn CUDA programming (beginner level) or This course is your first step towards a new career with the Machine Learning and Deep learning.

Enroll now: Beginning CUDA Programming: Zero to Hero, First Course!

Summary

Title: Beginning CUDA Programming: Zero to Hero, First Course!

Price: $49.99

Average Rating: 3.6

Number of Lectures: 43

Number of Quizzes: 1

Number of Published Lectures: 33

Number of Published Quizzes: 1

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 34

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

GPU programming with CUDA
Understanding the basics of GPU architecture
Writing programs in CUDA language with the latest CUDA toolkit

Who Should Attend

Any one who wants to learn CUDA programming (beginner level)
This course is your first step towards a new career with the Machine Learning and Deep learning

Target Audiences

Any one who wants to learn CUDA programming (beginner level)
This course is your first step towards a new career with the Machine Learning and Deep learning

WELCOME!

This is the first CUDA programming course on the Udemy platform.It aims to introduce the NVIDIA’s CUDA parallel architecture and programming model in an easy-to-understand way where-ever appropriate. This is the first course of the Scientific Computing Essentials master class. We plan to update the lessons and add more lessons and exercises every month!

WHAT IS CUDA?

CUDA is a parallel computing platform and application programming interface (API) model created by NVIDIA. When it was first introduced, the name was an acronym for Compute Unified Device Architecture, but now it’s only called CUDA. Some of the images used in this course are copyrighted to nVIDIA.

WHAT DO YOU LEARN?

This course show and tell CUDA programming by developing simple examples with a growing degree of difficulty starting from the CUDA toolkit installation to coding with the help of block and threads and so on. This course covers:

GPU Basics
CUDA Installation
CUDA Toolkit
CUDA Threads and Blocks in various combinations
CUDA Coding Examples
Vector addition
Matrix multiplication

This course comes with the first-ever online CUDA programming playgrounds. Students purchasing this course will receive free access to the interactive version of this course from the Scientific Programming School(SCIENTIFIC PROGRAMMING IO). Instruction are given in the bonus content section. Based on your earlier feedback, we are introducing a Zoom live class lecture serieson this course through which we will explain different aspects of the Parallel and distributed computing and the High Performance Computing (HPC) systems software stack: Slurm, PBS Pro, OpenMP, MPI and CUDA! Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding.

DISCLAIMER

Some of the images used in this course are copyrighted to NVIDIA.

Course Curriculum

Chapter 1: Let's Learn CUDA Programming!

Lecture 1: Welcome!

Lecture 2: Why Get this Course?

Lecture 3: Instructor

Lecture 4: Interactive Shell for Practice C++

Lecture 5: Heterogenous Computing and CUDA

Lecture 6: GPGPU software layer

Lecture 7: GPGPU Schema

Lecture 8: GPU Technology – Comparison

Lecture 9: CUDA device, thread, blocks and grids

Lecture 10: Introduction to GPGPU -documentation

Lecture 11: CUDA Threads and Blocks in 1D

Lecture 12: CUDA Threads and Blocks in 2D

Lecture 13: CUDA Memory Hierarchy

Lecture 14: CUDA Threads Programming – documentation

Lecture 15: CUDA "Hello World!" code example

Lecture 16: CUDA variable addtion on the device (1 block and 1 thread)

Lecture 17: CUDA vector addtion (N blocks and 1 Thread)

Lecture 18: CUDA vector addition (1 Block and N threads)

Lecture 19: CUDA variable addtion (N blocks and N threads)

Lecture 20: Source Code (Vector Addition)

Lecture 21: Matrix Multiplication (Revisited)

Lecture 22: Matrix Multiplication (CPU code vs. GPU code)

Lecture 23: Shared memory matrix muliplication (CUDA code)

Lecture 24: How to execute the CUDA code (Matrix Multiplication)?

Lecture 25: Source Code (Matrix Multiplication)

Chapter 2: CUDA Lessons

Lecture 1: Concepts

Lecture 2: Model

Lecture 3: Parallel For-loop

Lecture 4: Indexing

Lecture 5: Memory

Lecture 6: Synchronization

Chapter 3: Additonal contents – Interactive Playgrounds

Lecture 1: How to Get the Interactive Playgrounds?

Lecture 2: Free CUDA interactive playgrounds

Instructors

Scientific Programmer™ Team
ScientificProgrammer.me | Instructor Team
Scientific Programming School
Interactive Learning Platform

Rating Distribution

1 stars: 15 votes
2 stars: 20 votes
3 stars: 52 votes
4 stars: 61 votes
5 stars: 47 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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