14-18 October 2013
Amsterdam, Beurs van Berlage
Europe/Amsterdam timezone

GooFit: A massively-parallel fitting framework

15 Oct 2013, 14:38
20m
Effectenbeurszaal (Amsterdam, Beurs van Berlage)

Effectenbeurszaal

Amsterdam, Beurs van Berlage

Oral presentation to parallel session Software Engineering, Parallelism & Multi-Core Software Engineering, Parallelism & Multi-Core

Speaker

Rolf Edward Andreassen (University of Cincinnati (US))

Description

We present a general framework for maximum-likelihood fitting, in which GPUs are used to massively parallelise the per-event probability calculation. For realistic physics fits we achieve speedups, relative to executing the same algorithm on a single CPU, of several hundred.

Primary author

Rolf Edward Andreassen (University of Cincinnati (US))

Co-authors

Brian Meadows (University of Cincinnati (US)) Dr Karen Tomko (Ohio Supercomputer Center) Michael Sokoloff (University of Cincinnati) Weeraddana De Silva (University of Cincinnati (US))

Presentation Materials