The Jiangmen Underground Neutrino Observatory (JUNO) in China is a 20 kton liquid scintillator detector, designed primarily to determine the neutrino mass hierarchy, as well as to study various neutrino physics topics. Its core part consists of O(10^4) Photomultiplier Tubes (PMTs). Computations looping through this large amount of PMTs on CPU will be very time consuming. GPU parallel computing is perfectly suitable for solving this issue. It could be utilized in event reconstruction, Monte Carlo Simulation and many other aspects of the experiment. This talk will show a few examples of GPU application in JUNO and demonstrate its huge potential for experiments with lots of PMTs.
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