Application of OpenMP to Weather, Wave and Ocean Codes

Weather forecast limited area models, wave models and ocean models run commonly on vector machines or on MPP systems. Recently shared memory multiprocessor systems with ccNUMA architecture (SMP-ccNUMA) have been shown to deliver very good performances on many applications. It is important to know that the SMP-ccNUMA systems perform and scale well even for the above mentioned models and that a relatively simple effort is needed to parallelize the codes on these systems due to the availability of OpenMP as standard shared memory paradigm. This paper will deal with the implementation on a SGI Origin 2000 of a weather forecast model (LAMBO — Limited Area Model Bologna, the NCEP ETA model adapted to the Italian territory), a wave model (WA.M. — Wave Model, on the Mediterranean Sea and on the Adriatic Sea) and an ocean model (M.O.M. — Modular Ocean Model, used with data assimilation). These three models were written for vector machines, so the paper will describe the technique used to port a vector code to a SMP-ccNUMA architecture. Another aspect covered by this paper are the performances that these models have on these systems

Cloud Computing and Virtual Heritage: The Social Media-Oriented Paradigm Experienced at Cineca

Dalla collaborazione di archeologi (Antonella Coralini) e tecnologi nasce questo contributo, che focalizza l'attenzione sulle potenzialit\ue0 di ricaduta sociale del Cloud Computing, con focus sul caso di studio Pompei

DEISA - Cooperative Extreme Computing Across Europe

The European DEISA 1 project is an infrastructure of infrastructures – eleven of the leading European High Performance Computing (HPC) centers in Europe interconnected by a 10 Gb/s high speed network – that devised an innovative strategy to enable the cooperative operation of existing national supercomputing infrastructures. This initiative led to the deployment and operation of a world class, persistent, production quality, distributed tera-scale supercomputing environment with continental scope enabling scientific discovery across a broad spectrum of sciences and technologies. The paper describes in detail the DEISA infrastructure and high speed network interconnect, its operation and management, as well as user support procedures. The second part explains the used Grid middleware and Grid security models as well as its integration into the local security policies. The third part of the paper gives a comprehensive overview about lessons learned. The paper closes with a summary and a vision on future DEISA project extension plans. 1