  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.
