The SuperB asymmetric-energy e+e collider and detector to be built at the newly founded Nicola Cabibbo Lab will provide a uniquely sensitive probe of New Physics in the flavour sector of the Standard Model. Studying minute effects in the heavy quark and heavy lepton sectors requires a data sample of 75ab^-1 and a luminosity target of 10^36 cm^-2 s^-1. These parameters require a substantial growth in computing requirements and performances. The SuperB collaboration is thus investigating the advantages of new CPU architectures (multi and many cores) and how to exploit their capability of task parallelization in the framework for simulation and analysis software. In this work we present the underlying architecture which we intend to use and some preliminary performance results of the first framework prototype.
Exploiting new CPU architectures in the SuperB software framework / M., Corvo; F., Bianchi; V., Ciaschini; Delprete, D.; A., Di Simone; G., Donvito; A., Fella; F., Giacomini; A., Gianoli; S., Longo; S., Luitz; E., Luppi; M., Manzali; Pardi, Silvio; A., Perez; M., Rama; Russo, Guido; B., Santeramo; R., Stroili; L., Tomassetti. - 396:(2012). (Intervento presentato al convegno International Conference on Computing in High Energy and Nuclear Physics 2012 tenutosi a New York, USA nel maggio 2012) [10.1088/1742-6596/396/2/022010].
Exploiting new CPU architectures in the SuperB software framework
D. Delprete;PARDI, SILVIO;RUSSO, GUIDO;
2012
Abstract
The SuperB asymmetric-energy e+e collider and detector to be built at the newly founded Nicola Cabibbo Lab will provide a uniquely sensitive probe of New Physics in the flavour sector of the Standard Model. Studying minute effects in the heavy quark and heavy lepton sectors requires a data sample of 75ab^-1 and a luminosity target of 10^36 cm^-2 s^-1. These parameters require a substantial growth in computing requirements and performances. The SuperB collaboration is thus investigating the advantages of new CPU architectures (multi and many cores) and how to exploit their capability of task parallelization in the framework for simulation and analysis software. In this work we present the underlying architecture which we intend to use and some preliminary performance results of the first framework prototype.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
