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GPUs in Fermi satellite data analysis

3 May 2012, 16:00
40m
INFN/University of Padova, Italy

INFN/University of Padova, Italy

Speaker

Dr Denis Bastieri (Università di Padova)

Description

The standard analysis of the Fermi LAT collaboration could be sped up by two orders of magnitude porting the most time-consuming Science Tools toward a GPU architecture. Using an NVIDIA S2050, with its Fermi architecture, we were able to accelerate the computation of the satellite "livetime cube", reducing the execution time from 70 minutes (CPU) to 30 seconds (GPU). Other analysis tools could benefit from GPUs: in particular, the likelihood analysis and the upper limit computation. In this talk, we will present Uriel, the Ultrafast Robotic Interface for Extended Likelihood, and many different applications where GPUs can have an impact in gamma-ray astrophysics.

Presentation materials