Beginning CUDA Programming: Zero to Hero, First Course!

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Scientific Programming School,Scientific Programmer™ Team

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1. Lets Learn CUDA Programming!

1. Lets Learn CUDA Programming!.zip

1. Welcome!.mp4

00:54

2. Why Get this Course.mp4

01:11

3. Instructor.mp4

00:29

4. Interactive Shell for Practice C++.mp4

00:36

5. Heterogenous Computing and CUDA.mp4

04:22

6. GPGPU software layer.mp4

04:30

7. GPGPU Schema.mp4

02:38

8. GPU Technology - Comparison.mp4

05:22

9. CUDA device, thread, blocks and grids.mp4

03:57

10. Introduction to GPGPU -documentation.html

11. CUDA Threads and Blocks in 1D.mp4

02:02

12. CUDA Threads and Blocks in 2D.mp4

01:35

13. CUDA Memory Hierarchy.mp4

04:07

14. CUDA Threads Programming - documentation.html

15. CUDA Hello World! code example.mp4

04:43

16. CUDA variable addtion on the device (1 block and 1 thread).mp4

08:12

17. CUDA vector addtion (N blocks and 1 Thread).mp4

06:41

18. CUDA vector addition (1 Block and N threads).mp4

03:47

19. CUDA variable addtion (N blocks and N threads).mp4

06:42

20. Source Code (Vector Addition).html

21. Matrix Multiplication (Revisited).mp4

03:59

22. Matrix Multiplication (CPU code vs. GPU code).mp4

04:30

23. Shared memory matrix muliplication (CUDA code).mp4

08:05

24. How to execute the CUDA code (Matrix Multiplication).mp4

03:11

25. Source Code (Matrix Multiplication).html

26. CUDA Quiz.html

2. CUDA Lessons

1. Concepts.mp4

09:25

2. Model.mp4

08:00

3. Parallel For-loop.mp4

07:10

4. Indexing.mp4

06:00

5. Memory.mp4

15:05

6. Synchronization.mp4

07:35

3. Additonal contents - Interactive Playgrounds

1. How to Get the Interactive Playgrounds.mp4

00:53

2. Free CUDA interactive playgrounds.html

Description

Learn CUDA programming with GPGPU, kickstart your Big Data and Data Science Career!

What You'll Learn?

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

Who is this for?

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

What You Need to Know?

C/C++ programming

Visual Studio 2017 IDE (Free Community Edition)

CUDA Toolkit (Version 10.0 Latest)

More details

Description
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 parallelÂ computing platform and application programming interface (API) modelÂ created by NVIDIA.Â When it was first introduced, the name was an acronymÂ 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 series on 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.
Who this course is for:
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

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The Scientific Programming School, with 60,000+ students is an awesome e-education start-up initiative to provide professional training and practice courses for Scientific Coding, Linux, and Big Data. It is also an interactive and advanced e-learning platform that gives you the opportunity to run scientific codes/ OS commands as you learn with playgrounds and Interactive shells inside your browser. Scientific Programming Instructors specialize on Linux, Devops, HPC and Data Science coding with scientific programming. Currently we support three OS (Ubuntu, RHEL and SuSE) and 50+ programming languages including the commercial ones like Matlab. At the Scientific Programming School you start learning immediately instead of fiddling with OS, VMs, SDKs and/ IDEs setups. It‘s all setup with Docker on the cloud.

Scientific Programmer™ Team

Instructor's Courses

The Scientific Programming Instructor Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.Scientific programming is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.

Udemy

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Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.