Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Processing optimization with parallel computing for the J-PET tomography
  scanner   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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The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph