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Fundamentals of Accelerated Computing with CUDA C/C++

Single offer

This 8-hour-long course, designed by the NVIDIA Deep Learning Institute, will guide participants into the use of the most important CUDA tools and techniques to enable them to accelerate and optimise any C/C++ applications.

The CUDA computing platform offers a way to accelerate applications and code. It is a parallel computing programme, developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications in a variety of contexts. No previous CUDA programming knowledge is required to attend the course, but some basic C/C++ knowledge is required, in particular being familiar with variable types, loops, conditional statements, functions, and array manipulations. The course targets those with an intermediate knowledge of web development and interest in high performance computing, as well as professionals in the information and communication technology (ICT) sector. 
Participants attending this course will learn how to leverage command line and visual profiling and many other fundamental skills of accelerated computing with CUDA.

Training Offer Details

Target audience
Digital skills for ICT professionals and other digital experts.
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Industry - field of education and training
Database and network design and administration
Software and applications development and analysis
Target language
Geographical sphere
International initiative
Typology of training opportunties
Learning activity
workshop, seminar or conference
Assessment type
Training duration
Is this course free
Is the certificate / credential free
Part time intensive
Credential offered
Qualification Award
Self-paced course