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SUMMARY:GPU Accelerated Sampling and Model Comparison - David Yallup / IoA
DTSTART:20250604T124000Z
DTEND:20250604T130500Z
UID:TALK232978@talks.cam.ac.uk
CONTACT:128254
DESCRIPTION:This talk introduces a natively vectorized implementation of t
 he 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 compu
 te 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 nu
 ances and challenges of taking some of the widely used inference algorithm
 s within this community\, in particular nested sampling\, to the GPU accel
 erated frontier. Lastly I’ll present some practical benefit that this sp
 eedup can bring and comment on how this technical development can help pus
 h the boundaries of what we can achieve in the physical sciences.
LOCATION:The Hoyle Lecture Theatre + Zoom 
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