The Speedup Analysis in GEM Detector Based Acquisition System Algorithms with CPU and PCIe Cards

Rafał Krawczyk , Linczuk Paweł , Piotr Kolasiński , Andrzej Wojeński , Grzegorz Henryk Kasprowicz , Krzysztof Poźniak , Ryszard Romaniuk , Wojciech Zabołotny , Paweł Zienkiewicz , Tomasz Czarski , M. Chernyshova

Abstract

The demand for fast software post-processing algorithm in GEM detector based acquisition systems resulted in investigating potential algorithmic, hardware and software solutions to achieve highest throughput and lowest latencies in post-processing of the acquired data. The overview of solutions using Intel CPU and PCIe Intel and NVIDIA cards is presented. The feasibility analysis in terms of using the devices in the implemented systems is introduced including the trends of hardware development.
Author Rafał Krawczyk ISE
Rafał Krawczyk,,
- The Institute of Electronic Systems
, Linczuk Paweł ISE
Linczuk Paweł,,
- The Institute of Electronic Systems
, Piotr Kolasiński ISE
Piotr Kolasiński,,
- The Institute of Electronic Systems
, Andrzej Wojeński ISE
Andrzej Wojeński,,
- The Institute of Electronic Systems
, Grzegorz Henryk Kasprowicz ISE
Grzegorz Henryk Kasprowicz,,
- The Institute of Electronic Systems
, Krzysztof Poźniak ISE
Krzysztof Poźniak,,
- The Institute of Electronic Systems
, Ryszard Romaniuk ISE
Ryszard Romaniuk,,
- The Institute of Electronic Systems
, Wojciech Zabołotny ISE
Wojciech Zabołotny,,
- The Institute of Electronic Systems
, Paweł Zienkiewicz ISE
Paweł Zienkiewicz,,
- The Institute of Electronic Systems
, Tomasz Czarski
Tomasz Czarski,,
-
et al.
Journal seriesActa Physica Polonica B Proceedings Supplement, ISSN 1899-2358, e-ISSN 2082-7865
Issue year2016
Vol9
No2
Pages257-262
Publication size in sheets12.85
DOIDOI:10.5506/APhysPolBSupp.9.257
URL http://www.actaphys.uj.edu.pl/fulltext?series=Sup&vol=9&page=257
Languageen angielski
File
s9p0257.pdf (file archived - login or check accessibility on faculty) s9p0257.pdf 338.6 KB
Score (nominal)12
ScoreMinisterial score = 12.0, 27-03-2017, ArticleFromJournal
Ministerial score (2013-2016) = 12.0, 27-03-2017, ArticleFromJournal
Citation count*4 (2018-02-24)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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