W. Badgett, K. Biery, C. Green, J. Kowalkowski, K. Maeshima, M. Paterno, R. Roser
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引用次数: 0
Abstract
High Energy Physics has a long history of coping with cutting-edge data rates in its efforts to extract meaning from experimental data. The quantity of data from planned future experiments that must be analyzed practically in real-time to enable efficient filtering and storage of the scientifically interesting data has driven the development of sophisticated techniques which leverage technologies such as MPI, OpenMP and Intel TBB. We show the evolution of data collection, triggering and filtering from the 1990s with TeVatron experiments into the future of Intensity Frontier and Cosmic Frontier experiments and show how the requirements of upcoming experiments lead us to the development of high-performance streaming triggerless DAQ systems.
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