CUDA Programming Essentials

Name: CUDA Programming Essentials
Rating: 4 (2 reviews)
Author: Scientific Programming Team

This short and sweet hands-on course will help you to master the basics of CUDA and parallel algorithms on GPUs.

- INTRODUCTION
  - GPUs - graphics processing units
  - CUDA programming overview
  - CUDA Installation
  - CUDA thread model
  - CUDA memory model
  - CUDA kernel function
- HANDS-ON PROJECTS
  - CUDA Hello World!
  - Square an array of numbers Preview
  - CUDA vector addition
  - CUDA matrix multiplication Preview
- ADVANCED CUDA TOPICS
  - CUDA threads syncs
  - CUDA coalesce memory access
  - CUDA streams
- CONCLUSION
  - Conclusion
Description

This is the first and easiest CUDA course that will introduce you with CUDA programming through hands-on examples. Harness the power of GPUs to speed up your scientific applications.

Updates:
08/04/2020 - Lesson videos added, source codes updated.

Requirements
- Basic C or C++ programming knowladge
Outcome
- Foundational knowladge about CUDA programming
Instructor Profile

Scientific Programming Team Instructor Teaching 80 students

The Scientific Programming 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.
Student feedback

4

Course Rating

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Reviews (2)
- Vinil VadakkepurakkalStudent
  
  Concepts are clear!
  
  Tue, 07-Apr-2020
- Linux Computing SchoolStudent
  
  Excellent introduction with demos!
  
  Wed, 08-Apr-2020
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