The current trend to multicore architectures underscores the need of parallelism. While new languages and alternatives for supporting more efficiently these systems are proposed, MPI faces this new challenge. Therefore, up-to-date performance evaluations of current options for programming multicore systems are needed. This paper evaluates MPI performance against Unified Parallel C (UPC) and OpenMP on multicore architectures. From the analysis of the results, it can be concluded that MPI is generally the best choice on multicore systems with both shared and hybrid shared/distributed memory, as it takes the highest advantage of data locality, the key factor for performance in these systems. Regarding UPC, although it exploits efficiently the data layout in memory, it suffers from remote shared memory accesses, whereas OpenMP usually lacks efficient data locality support and is restricted to shared memory systems, which limits its scalability.

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Cosmic rays of a wide range of energies are arriving permanently to the Earth coming from the Sun or beyond our solar system. Their study is of interest for many fields of research. A high granularity and high time resolution cosmic ray tracking detector, TRAGALDABAS, based on timing RPC cells, has been recently installed at the Faculty of Physics of the Univ. of Santiago de Compostela, in Spain, in order to go deeper into the understanding of the cosmic rays arriving to the Earth surface. In this article, the layout and the main performances of the detector are shown together and some of the expected research fields are discussed. KEYWORDS: Particle tracking detectors (Gaseous detectors); Timing detectors; Large detector systems for particle and astroparticle physics 3 Front end electronics, data acquisition and performance 4 4 Main research goals and aims of the facility 5

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