Exploiting graphic processing units parallelism to improve intelligent data acquisition system performance in JET's correlation reflectometer

Nieto, J. and Arcas Castro, Guillermo de and Vega, Jesús and Ruiz González, Mariano and López Navarro, Juan Manuel and Barrera Lopez de Turiso, Eduardo and Murari, Andrea and Fonseca, A. (2011). Exploiting graphic processing units parallelism to improve intelligent data acquisition system performance in JET's correlation reflectometer. In: "17th IEEE NPSS Real Time Conference", 24/05/2010 - 28/05/2010, Lisboa, Portugal. ISBN 978-1-4244-7108-9.

Description

Title: Exploiting graphic processing units parallelism to improve intelligent data acquisition system performance in JET's correlation reflectometer
Author/s:
  • Nieto, J.
  • Arcas Castro, Guillermo de
  • Vega, Jesús
  • Ruiz González, Mariano
  • López Navarro, Juan Manuel
  • Barrera Lopez de Turiso, Eduardo
  • Murari, Andrea
  • Fonseca, A.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 17th IEEE NPSS Real Time Conference
Event Dates: 24/05/2010 - 28/05/2010
Event Location: Lisboa, Portugal
Title of Book: Proceedings of the 17th IEEE NPSS Real Time Conference
Date: April 2011
ISBN: 978-1-4244-7108-9
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Sistemas Electrónicos y de Control [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The performance of intelligent data acquisition systems relies heavily on their processing capabilities and local bus bandwidth, especially in applications with high sample rates or high number of channels. This is the case of the self adaptive sampling rate data acquisition system installed as a pilot experiment in KG8B correlation reflectometer at JET. The system, which is based on the ITMS platform, continuously adapts the sample rate during the acquisition depending on the signal bandwidth. In order to do so it must transfer acquired data to a memory buffer in the host processor and run heavy computational algorithms for each data block. The processing capabilities of the host CPU and the bandwidth of the PXI bus limit the maximum sample rate that can be achieved, therefore limiting the maximum bandwidth of the phenomena that can be studied. Graphic processing units (GPU) are becoming an alternative for speeding up compute intensive kernels of scientific, imaging and simulation applications. However, integrating this technology into data acquisition systems is not a straight forward step, not to mention exploiting their parallelism efficiently. This paper discusses the use of GPUs with new high speed data bus interfaces to improve the performance of the self adaptive sampling rate data acquisition system installed on JET. Integration issues are discussed and performance evaluations are presented

More information

Item ID: 7583
DC Identifier: http://oa.upm.es/7583/
OAI Identifier: oai:oa.upm.es:7583
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&arnumber=5750486
Deposited by: Memoria Investigacion
Deposited on: 20 Jun 2011 10:50
Last Modified: 26 Sep 2014 16:48
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