Performance study of a signal‐extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real‐time‐analysis software
Summary In this work, a signal‐extraction algorithm pertaining to the Cherenkov Telescope Array's real‐time‐analysis pipeline has been parallelised using SSE, POSIX Threads and CUDA. Because of the observatory's constraints, the online analysis has to be conducted on site, on hardware loca...
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| Veröffentlicht in: | Concurrency and computation 2017-06, Vol.29 (12), p.n/a |
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| container_title | Concurrency and computation |
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| creator | Rodríguez‐Vázquez, Juan José Vázquez‐Poletti, José Luis Delgado, Carlos Bulgarelli, Andrea Cárdenas‐Montes, Miguel |
| description | Summary
In this work, a signal‐extraction algorithm pertaining to the Cherenkov Telescope Array's real‐time‐analysis pipeline has been parallelised using SSE, POSIX Threads and CUDA. Because of the observatory's constraints, the online analysis has to be conducted on site, on hardware located at the telescopes, and compels a search for efficient computing solutions to handle the huge amount of measured data. This work is framed in a series of studies which benchmark several algorithms of the real‐time‐analysis pipeline on different architectures to gain an insight into the suitability and performance of each platform. |
| doi_str_mv | 10.1002/cpe.4086 |
| format | Article |
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| ispartof | Concurrency and computation, 2017-06, Vol.29 (12), p.n/a |
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| language | eng |
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| source | Access via Wiley Online Library |
| subjects | Algorithms Cherenkov telescopes CTA CUDA Extraction HPC Real time real‐time analysis science‐alert system SIMD Telescopes TLP VHE gamma‐ray astronomy |
| title | Performance study of a signal‐extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real‐time‐analysis software |
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