Processing optimization with parallel computing for the J-PET tomography scanner

W. Krzemień; M. Bała; T. Bednarski; P. Białas; E. Czerwiński; A. Gajos; M. Gorgol; B. Jasińska; D. Kamińska; Ł. Kapłon; G. Korcyl; P. Kowalski; T. Kozik; E. Kubicz; Sz. Niedźwiecki; M. Pałka; L. Raczyński; Z. Rudy; O. Rundel; N. G. Sharma; M. Silarski; A. Słomski; K. Stola; A. Strzelecki; D. Trybek; Anna Wieczorek; W. Wiślicki; M. Zieliński; B. K. Zgardzińska; P. Moskal

doi:10.1515/nuka-2015-0134

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arXiv · 1508.02751

Processing optimization with parallel computing for the J-PET tomography scanner

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Abstract

The Jagiellonian-PET (J-PET) collaboration is developing a prototype TOF-PET detector based on long polymer scintillators. This novel approach exploits the excellent time properties of the plastic scintillators, which permit very precise time measurements. The very fast, FPGA-based front-end electronics and the data acquisition system, as well as, low- and high-level reconstruction algorithms were specially developed to be used with the J-PET scanner. The TOF-PET data processing and reconstruction are time and resource demanding operations, especially in case of a large acceptance detector, which works in triggerless data acquisition mode. In this article, we discuss the parallel computing methods applied to optimize the data processing for the J-PET detector. We begin with general concepts of parallel computing and then we discuss several applications of those techniques in the J-PET data processing.

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W. Krzemień, M. Bała, T. Bednarski, P. Białas, E. Czerwiński, A. Gajos, M. Gorgol, B. Jasińska, D. Kamińska, Ł. Kapłon, G. Korcyl, P. Kowalski, T. Kozik, E. Kubicz, Sz. Niedźwiecki, M. Pałka, L. Raczyński, Z. Rudy, O. Rundel, N. G. Sharma, M. Silarski, A. Słomski, K. Stola, A. Strzelecki, D. Trybek, Anna Wieczorek, W. Wiślicki, M. Zieliński, B. K. Zgardzińska, P. Moskal. 2015-08-11. Processing optimization with parallel computing for the J-PET tomography scanner. https://doi.org/10.1515/nuka-2015-0134

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