University of Cambridge > Talks.cam > Institute of Astronomy Seminars > GPU Accelerated Sampling and Model Comparison

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

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

ℹ️ Information

GPU Accelerated Sampling and Model Comparison

Download to your calendar using vCal

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

This talk introduces a natively vectorized implementation of the Nested Sampling algorithm, enabling deployment of the entire inference process onto GPUs for massive acceleration. I will start by reviewing the benefits, and necessity, of the paradigm shift towards vectorized compute in the physical sciences. After a brief review of the how (and why) of Bayesian inference in Astronomy and Cosmology, I will then explore the nuances and challenges of taking some of the widely used inference algorithms within this community, in particular nested sampling, to the GPU accelerated frontier. Lastly I’ll present some practical benefit that this speedup can bring and comment on how this technical development can help push the boundaries of what we can achieve in the physical sciences.

This talk is part of the Institute of Astronomy Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Education, Globalisation, and International Development The Leverhulme Centre, The Henry Wellcome Building, Fitzwilliam Street, Cambridge Average on weekdays: 9159.4359673 kWh

Other talks

Title to be confirmed Decoding genomic chaos - a pancancer compendium of chromosomal instability Shape modes of CP^1 vortices Cambridge RNA Club - IN PERSON TBC Group Work
 

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