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About Beginning CUDA Programming – Zero to Hero, First Course!
Beginning CUDA Programming – Zero to Hero, First Course!
This course is designed for anyone who wants to learn CUDA programming, regardless of their current level of experience. Whether you’re new to programming or already have some experience with other languages, this course will guide you through the basics of CUDA programming and help you build a strong foundation in parallel computing.
Who can use this course?
This course is ideal for software developers, computer science students, and anyone else interested in learning how to harness the power of GPUs for parallel computing. It’s also suitable for those who want to accelerate their existing algorithms using the parallel processing capabilities of NVIDIA GPUs.
What can this course do: Pros and Cons
– Comprehensive coverage of CUDA programming, from the basics to advanced topics
– Hands-on exercises and practical examples to reinforce learning
– Instructor-led videos and course materials for self-paced learning
– Access to a community of learners and experts for support and discussion
– Requires a compatible NVIDIA GPU for hands-on practice
– Some prior knowledge of C or C++ programming may be beneficial
Q: Do I need a specific type of NVIDIA GPU to take this course?
A: Yes, you will need an NVIDIA GPU with CUDA support to follow along with the exercises and projects in this course.
Q: I’m a complete beginner to programming. Is this course suitable for me?
A: Yes, this course is designed for beginners and will guide you through the fundamentals of CUDA programming. However, some prior knowledge of C or C++ programming may be helpful.
Q: Can I access the course materials at any time?
A: Yes, the course materials are available for self-paced learning, allowing you to access them at any time that is convenient for you.
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1. Let’s Learn CUDA Programming!
02. Why Get this Course
04. Interactive Shell for Practice C++
05. Heterogenous Computing and CUDA
06. GPGPU software layer
07. GPGPU Schema
08. GPU Technology – Comparison
09. CUDA device, thread, blocks and grids
11. CUDA Threads and Blocks in 1D
12. CUDA Threads and Blocks in 2D
13. CUDA Memory Hierarchy
15. CUDA Hello World! code example
16. CUDA variable addtion on the device (1 block and 1 thread)
17. CUDA vector addtion (N blocks and 1 Thread)
18. CUDA vector addition (1 Block and N threads)
19. CUDA variable addtion (N blocks and N threads)
21. Matrix Multiplication (Revisited)
22. Matrix Multiplication (CPU code vs. GPU code)
23. Shared memory matrix muliplication (CUDA code)
24. How to execute the CUDA code (Matrix Multiplication)
2. CUDA Lessons
3. Additonal contents – Interactive Playgrounds