University of Cambridge > Talks.cam > Churchill CompSci Talks > Parallel programming using NVIDIA CUDA

Parallel programming using NVIDIA CUDA

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact John Wickerson.

Remember stories about people writing programs for laser printers because they were faster than CPUs? It’s GPU time now! NVIDIA ’s graphics chips are amazingly fast at processing graphics. Moreover they can be used to write general purpose programs. CUDA is a programming architecture that allows to use that hardware in order to build massively parallel programs. We will look into the specifics of this hardware that we can exploit and will discuss some simple applications for it.

This talk is part of the Churchill CompSci Talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity