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Exploiting Graphic Processing Units Parallelism to Improve Intelligent Data Acquisition System Performance in JET’s Correlation Reflectometer

J. Nieto, G. de Arcas, J. Vega, M. Ruiz, J. M. Lopez, E. Barrera, A. Murari, A. Fonseca
Universidad Politecnica de Madrid, Spain
IEEE Transactions on Nuclear Science, 2010

@inproceedings{nieto2010exploiting,

   title={Exploiting graphic processing units parallelism to improve intelligent data acquisition system performance in JET’s correlation reflectometer},

   author={Nieto, J. and de Arcas, G. and Vega, J. and Ruiz, M. and L{‘o}pez, JM and Barrera, E. and Murari, A. and Fonseca, A.},

   booktitle={Real Time Conference (RT), 2010 17th IEEE-NPSS},

   pages={1–4},

   organization={IEEE},

   year={2010}

}

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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.
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