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

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Parallel programming using NVIDIA CUDA

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.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Alison Richard Building (ARB), 7 West Road, SG1 CamCreative Seminar Room, Henry Wellcome Building & on Zoom -https://zoom.us/meeting/register/tJAsduigrTwtEtMPh6m9S7OnOef5SaPcSYOn

Other talks

Group Work Title to be confirmed TBC Loke CTR Annual Meeting 2026 - Epigenetics of embryogenesis and placentation Reproducibility In Astrophysical Simulations: The AGORA Initiative and a 14-Year Human Experiment (In Memory of Joel Primack) Harnessing Radical Reactivity for Molecular Innovation
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity