Project Specification: This project concerns the parallel computing and vectorization field for Physics Computing at CERN. The document summarises the results and experience from vectorization activities and an initial evaluation of the CilkPlus technology with two different benchmarks from CERN. Abstract: With the release of the Intel Sandy Bridge processor, vectorization ceased to be a “nice to have” feature and became a necessity.

Many physics and performance studies carried out with the ATLAS detector at the Long Hadron Collider (LHC) require very large event samples. A detailed simulation for the detector, however, requires a great amount of CPU resources. In addition to detailed simulation, fast techniques and new setups are developed and extensively used to supply large event samples.

The new release of Oracle 12c contains new features which satisfy continuously growing needs demands for resources. Large enterprises nowadays may use hundreds or thousands of databases combined with different platforms on multiple physical servers. Because of improvements in hardware technology, especially the increase in the number of CPUs, servers are able to handle heavier workloads than before. A database may use only a fraction of the server hardware capacity, which can waste hardware resources.

Invenio is an open source web-based application that implements a digital library or document server, and it's used at CERN as the base of the CERN Document Server Institutional Repository and the Inspire High Energy Physics Subject Repository. The purpose of this project was to add a new feature to CDS, through which users could manage their own favorite collections on top of existing ones.

The project aims at evaluating the use of CERN computing infrastructure for next generation sensor networks data analysis. The proposed system allows the simulation of a large-scale sensor array for traffic analysis, streaming data to CERN storage systems in an efficient way. The data are made available for offline and quasi-online analysis, enabling both long term planning and fast reaction on the environment.