New developments at JET in diagnostics, real-time control, data acquisition and information retrieval with potential application to ITER

Vega, J.; Murari, A.; Carvalho, B.B.; Arcas, Guillermo de; Felton, R.; Riva, M.; Ruiz, M.; Svensson, J.; Contributors, Jet‐Efda

doi:10.1016/j.fusengdes.2009.02.055

Cited by 11 publications

(1 citation statement)

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“…T he pursuit of more performing plasma scenarios in reactor class devices, with high energy content and long pulses, has motivated the measurements of more quantities, with higher spatial and time resolution, leading to an exponential increase in the amount of data to be analyzed, which cannot be handled with traditional methods [1]. The traditional paradigm of analyzing the data after the shot must be abandoned, and approaches such as the one proposed through the Intelligent Test and Measurement System (ITMS) platform [2] must be adopted to provide more information during the shot.…”

Section: Introductionmentioning

confidence: 99%

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

Nieto

Arcas

Vega³

et al. 2010

2010 17th IEEE-NPSS Real Time Conference

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Abstrcwt-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 máximum sample rate that can be achieved, therefore limiting the máximum 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 efflciently.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.

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Section: Introductionmentioning

confidence: 99%

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

Nieto

Arcas

Vega³

et al. 2010

2010 17th IEEE-NPSS Real Time Conference

Self Cite

View full text Add to dashboard Cite

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Test-bed of a real time detection system for L/H and H/L transitions implemented with the ITMS platform

Ruiz

Vega²,

Barrera

et al. 2010

Fusion Engineering and Design

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Keywords:Intelligent data acquisition and processing Implementation of learning systems A basic requirement of the data acquisition systems used in long pulse fusión experiments is to detect events of interest in the acquired signáis in real time. Developing such applications is usually a complex task, so it is necessary to develop a set of hardware and software tools that simplify their implementation. An example of these tools is the Intelligent Test and Measurement System (ITMS), which offers distributed data acquisition, distribution and real time processing capabilities with advanced, but easy to use, software tools that simplify application development and system setup. This paper presents the application of the ITMS platform to solve the problem of detecting L/H and H/L transitions in real time based on the use of efficient pattern recognition algorithms.

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A GPU-based real time high performance computing service in a fast plant system controller prototype for ITER

Nieto

Arcas

Ruiz

et al. 2012

Fusion Engineering and Design

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New developments at JET in diagnostics, real-time control, data acquisition and information retrieval with potential application to ITER

Cited by 11 publications

References 11 publications

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

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

Test-bed of a real time detection system for L/H and H/L transitions implemented with the ITMS platform

A GPU-based real time high performance computing service in a fast plant system controller prototype for ITER

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