Statistics – Applications
Scientific paper
Jun 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011spie.8008e..19j&link_type=abstract
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011. Edited by Romaniuk, Ry
Statistics
Applications
Scientific paper
Today's most sophisticated real-time control systems, such as the LHC or alike, are facing similar problem of processing terabits per second of raw data generated by the diagnostic systems - where in addition most of the data is useless and only generates an empty burden for computing modules. Many approaches have already been adopted to make the realtime control possible under such circumstances including: parallel computing, modularity and data mining. Furthermore many factors determine the real efficiency of the whole system including: transfer rates between components and modules, "slow" memories or architecture and frequency of computing units. This paper presents a concept of realization, architecture, and hardware implementation of a digital signal processing module utilizing modern technologies, standards and approaches in one single card.
Cieszewski Radosław
Janicki Tom
Kasprowicz Grzegorz
Poźniak Krzystof T.
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