Computing at SuperB

Autor: Leonardo Merola, V. Ciaschini, S. Luitz, Matteo Rama, Alejandro Perez, Guido Russo, Armando Fella, Guglielmo De Nardo, F. Bianchi, R. Stroili, A. Gianoli, P. Franchini, Andrea Di Simone, Giacinto Donvito, Giuliano Laccetti, Vania Boccia, Bruno Santeramo, Silvio Pardi, Stefano Longo, Eleonora Luppi, Luca Tommasetti, Domenico Del Prete, Matteo Manzali, Marco Corvo, Francesco Giacomini
Přispěvatelé: DEL PRETE, Domenico, Fabrizio, Bianchi, Vania, Boccia, Vincenzo, Ciaschini, Marco, Corvo, Guglielmo De Nardo, Andrea Di Simone, Giacinto, Donvito, Armando, Fella, Paolo, Franchini, Francesco, Giacomini, Alberto, Gianoli, Laccetti, Giuliano, Stefano, Longo, Steffen, Luitz, Eleonora, Luppi, Matteo, Manzali, Merola, Leonardo, Silvio, Pardi, Alejandro, Perez, Matteo, Rama, Russo, Guido, Bruno, Santeramo, Roberto, Stroili, Luca, Tommasetti
Zdroj: Scopus-Elsevier
Popis: The development of a computing model for the next generation of Super Flavour Factories, like SuperB and SuperKEKB, presents significant challenges. With a nominal luminosity above 10^36 cm^-2 s^-1, we estimate that, after few years of operation, the size of the data sample will be of the order of 500 PB and the amount of CPU required to process it will be close to 5000 KHep-Spec06. The new many and multi core technologies need to be effectively exploited in order to manage very large data set and this has a potential large impact on the computing model for SuperB. In addition, the computing resources available to SuperB, as is already the case for LHC experiments, will be distributed and accessed through a Grid or a cloud infrastructure and a suite of efficient and reliable tools needs to be provided to the users. A dedicated research program to explore these issues is in progress and it is presented here.
Databáze: OpenAIRE