Performance study of a signal-extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array’s real-time-analysis software

Concurrency and Computation: Practice and Experience just published our latest work on parallelisation strategies in the context of the the Cherenkov Telescope Array project. This is a result of an ongoing collaboration with CIEMAT (Spain) and INAF (Italy) and it can be accessed here.

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.

J.L. Vázquez-Poletti

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