CUDA Programming - From Zero to Hero

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Aditya Agrawal

3:05:26

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1 - Introduction to Parallel Programming

1 - Quiz on Parallel Programming.html

1 - What is Parallel Programming.mp4

12:46

2 - Why do we need Parallel Programming.mp4

01:46

3 - What are threads.mp4

08:35

4 - Benefits and Challenges of Working with Threads.mp4

07:05

5 - What went wrong with single processor performance.mp4

04:07

2 - Installing CUDA on Nvidia and NonNvidia Machines

6 - Installing CUDA on a NonNvidia Graphics Card Machine.mp4

04:15

6 - cuda-installation.zip

7 - Installing CUDA on a Nvidia Graphics Card Machine.mp4

02:54

3 - Hello World in CUDA

8 - Hello World Program version 1.mp4

11:01

9 - Hello World Program version 2.mp4

06:08

10 - Hello World Program version 3.mp4

03:35

11 - Coding Exercise Print Your Name N Times.mp4

05:03

12 - Bonus Lecture 1 Time your Programs in CUDA.mp4

06:19

4 - Communicate between GPU and CPU Memory

13 - Lets Look at a Code.mp4

06:16

14 - Typical Memory Flow.mp4

12:35

15 - Initializing an array in parallel.mp4

10:42

16 - Adding a constant c to all elements of an array.mp4

03:21

5 - Kernels Grids Blocks and Threads

17 - How are threads organized in CUDA.mp4

08:13

18 - Accessing Grid Dimensions.mp4

03:52

19 - Accessing Block Dimensions.mp4

02:39

20 - Problem of changing size to value greater than 1024 in Lecture 16 Section 4.mp4

09:08

6 - CUDA Computation

21 - Warps and Thread Divergence.mp4

13:56

22 - Finding Thread Divergence in Code.mp4

01:34

23 - Exercise Solution.mp4

04:50

24 - Finding an element in parallel.mp4

19:47

25 - Exercise Solution Encrypting and Decrypting Messages.mp4

14:59

7 - Conclusion

Description

Learn CUDA Programming from absolute scratch

What You'll Learn?

Learn how to build programs in CUDA
Understand the underlying basics of Parallel Programming
Build a Machine Learning Model in CUDA (Future Work for now)
Learn GPU Programming in CUDA as a whole

Who is this for?

Any person interested to dive into the field of parallel programming.

What You Need to Know?

A bit familiarity in C++ is needed, except that the desire to learn.

More details

Description
Welcome to the course on CUDAÂ Programming - FromÂ Zero to Hero!

Unlock the immense power of parallel computing with our comprehensive CUDA Programming course, designed to take you from absolute beginner to a proficient CUDA developer. Whether you're a software engineer, data scientist, or enthusiast looking to harness the potential of GPU acceleration, this course is your gateway to mastering the CUDA programming paradigm. In this course, we will learn aboutÂ GPUÂ Programming and write programs in CUDAÂ in C++. CUDAÂ is an amazing framework developed by NVidia where you can code programs that can run onÂ GPUs.Â By exploiting data level parallelism techniques, one can solve complex computational tasks and problems in far lesser time compared to the serial counterparts. SerialÂ Programming involves usage of only a single processor core where all the computation happens, but in today's world with the advent of multi-core architectures, parallel programming is the need of the hour. To add to that, Nvidia offers its wide range of GPUs where you can use this framework to run your algorithms in the GPUÂ in parallel. CUDA also enables you to learn how to code faster for people who have some exposure on serial programming languages like C, C++ and Java. This course would offer you to write programs in C++ utilizing the CUDAÂ framework.
This course will also touch base on the basics of parallel programming and why we do it in the first place. It also reflects on when parallelism can be exploited and what are threads to start your journey! I have tried to build the course as self-contained as possible so that students can find a one-stop solution to becoming a CUDAÂ Programmer from the absolute basics.
If you do not have a Nvidia GPU, don't worry as in this course, I will show you a way by which you can run CUDAÂ Programs on any machine!Â Only thing required is an internet connection, that'sÂ it!
By the end of this course, you'll not only be proficient in CUDA programming but also have the confidence to tackle complex parallel computing challenges. Join us on this journey, and let's elevate your GPU programming skills from zero to hero!

Prerequisites
Willingness toÂ Learn
Some familiarity with C++Â language is expected.
What will you learn from this course?
Basics ofÂ ParallelÂ Programming In this section, you will learn more about what is the need of parallel programming and why it is important to learn this skill.
Installing CUDAÂ on NVidia As WellÂ As Non-Nvidia Machines In this section, we will learn how to install CUDAÂ Toolkit and necessary software before diving deep into CUDA.
HelloÂ World in CUDA We will start with Programming HelloÂ World inÂ CUDAÂ and learn about certain intricate details about CUDA.
Communication betweenÂ GPUÂ And CPUÂ Memory This section will talk more about how a CPU can communicate with the GPUÂ and send data and receive data from it.
Kernels, Grids,Â Blocks andÂ Threads This section will form the heart of CUDA where you will learn more about grids, blocks and kernels.
CUDAÂ Computation This section will share more about using CUDAÂ Programming to do Compute Tasks.
If you are interested to code parallel programs in GPU, enroll this course now.
Who this course is for:
Any person interested to dive into the field of parallel programming.

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Hello People, I am a Computer Science Engineer currently working as a researcher in parallel programming at IIT Madras, India. I have worked in various domains ranging from Software Development, Data Science and Machine Learning. I love to teach and share knowledge among my peers and what better way than to use this platform for the same

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