Performance study of a signal-extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real-time-analysis software
| Autor: | Juan José Rodríguez-Vázquez, Miguel Cárdenas-Montes, Carlos Delgado, Andrea Bulgarelli, Jose Luis Vazquez-Poletti |
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| Rok vydání: | 2017 |
| Předmět: |
POSIX Threads
Computer Networks and Communications business.industry Computer science Pipeline (computing) Cherenkov Telescope Array 01 natural sciences Computer Science Applications Theoretical Computer Science 010309 optics CUDA Software Computational Theory and Mathematics Observatory ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION 0103 physical sciences Benchmark (computing) SIMD business 010303 astronomy & astrophysics Algorithm |
| Zdroj: | Concurrency and Computation: Practice and Experience. 29:e4086 |
| ISSN: | 1532-0626 |
| DOI: | 10.1002/cpe.4086 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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