Jet browser model accelerated by GPUs

• Published in: Acta Universitatis Sapientiae. Informatica Vol. 8; no. 2; pp. 171 - 185
• Main Authors: Forster, Richárd, Ágnes, Fülöp
• Format: Journal Article
• Language: English
• Published: De Gruyter Open 01.12.2016; Scientia Publishing House
• Subjects: CUDA; database of experimenthal particle physics parallel computing; GPU; jet; trajectory reconstruction algorithm
• ISSN: 2066-7760; 2066-7760
• DOI: 10.1515/ausi-2016-0008

In the last centuries the experimental particle physics began to develop thank to growing capacity of computers among others. It is allowed to know the structure of the matter to level of quark gluon. Plasma in the strong interaction. Experimental evidences supported the theory to measure the predicted results. Since its inception the researchers are interested in the track reconstruction. We studied the jet browser model, which was developed for 4π calorimeter. This method works on the measurement data set, which contain the components of interaction points in the detector space and it allows to examine the trajectory reconstruction of the final state particles. We keep the total energy in constant values and it satisfies the Gauss law. Using GPUs the evaluation of the model can be drastically accelerated, as we were able to achieve up to 223 fold speedup compared to a CPU based parallel implementation.