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Massively Parallel Computing and the Search for Jets and Black Holes at the LHC
Massively parallel computing at the LHC could be the next leap necessary to reach an era of new discoveries at the LHC after the Higgs-like discovery. Scientific computing is a critical component of the LHC experiment, including operation, trigger, LHC computing GRID, simulation, and analysis. One w...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2014.01.038 http://cds.cern.ch/record/1603000 |
Sumario: | Massively parallel computing at the LHC could be the next leap necessary to reach an era of new discoveries at the LHC after the Higgs-like discovery. Scientific computing is a critical component of the LHC experiment, including operation, trigger, LHC computing GRID, simulation, and analysis. One way to improve the physics reach of the LHC is to take advantage of the flexibility of the trigger system by integrating Graphics Processing Unit (GPU) or Many Integrated Core (MIC) processors into its server farm. This cutting edge technology provides not only the means to accelerate existing algorithms, but also the opportunity to develop new algorithms that select events that could have previously evaded detection. In this article we describe new algorithms to select prompt or non-prompt jet and black hole--like objects in the silicon tracker. |
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