Beginning CUDA Programming: Zero to Hero, First Course!
What you'll learn
- GPU programming with CUDA
- Understanding the basics of GPU architecture
- Writing programs in CUDA language with the latest CUDA toolkit
- C/C++ programming
- Visual Studio 2017 IDE (Free Community Edition)
- CUDA Toolkit (Version 10.0 Latest)
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:
CUDA Threads and Blocks in various combinations
CUDA Coding Examples
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.
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
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.
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.