Computing trends using graphic processor in high energy physics
Faculty of Physics, University of Bucharest, Bucharest, Romania
arXiv:1106.6217v1 [cs.DC] (30 Jun 2011)
@article{2011arXiv1106.6217N,
author={Niculescu}, M. and {Zgura}, S.-I.},
title={"{Computing trends using graphic processor in high energy physics}"},
journal={ArXiv e-prints},
archivePrefix={"arXiv"},
eprint={1106.6217},
primaryClass={"cs.DC"},
keywords={Computer Science – Distributed, Parallel, and Cluster Computing, High Energy Physics – Experiment, Physics – Computational Physics},
year={2011},
month={jun},
adsurl={http://adsabs.harvard.edu/abs/2011arXiv1106.6217N},
adsnote={Provided by the SAO/NASA Astrophysics Data System}
}
One of the main challenges in Heavy Energy Physics is to make fast analysis of high amount of experimental and simulated data. At LHC-CERN one p-p event is approximate 1 Mb in size. The time taken to analyze the data and obtain fast results depends on high computational power. The main advantage of using GPU(Graphic Processor Unit) programming over traditional CPU one is that graphical cards bring a lot of computing power at a very low price. Today a huge number of application(scientific, financial etc) began to be ported or developed for GPU, including Monte Carlo tools or data analysis tools for High Energy Physics. In this paper, we’ll present current status and trends in HEP using GPU.
July 1, 2011 by hgpu
