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Sant'Ambrogio di Torino, Italy

Caragnano G.,Advanced Computing and Electromagnetics | Mossucca L.,Advanced Computing and Electromagnetics | Ruiu P.,Advanced Computing and Electromagnetics | Terzo O.,Advanced Computing and Electromagnetics | Francavilla M.A.,Advanced Computing and Electromagnetics
Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 | Year: 2014

The Electromagnetic Modeling (EM) is a mathematical technique widely used by company and scientists for the design of aircraft, satellites, ships and automobiles. Since the complexity and the level of details of the analyzed structures are typically very high, for running EM modeling software a huge quantity of computational resources is required, both in terms of memory and CPUs. On the other hand, companies would like to be able to analyze EM impact, based on accurate models that corresponding to reality, entirely by software avoiding the creation and measure of real hardware prototypes, therefore reducing time and cost required for the planning stages. For these reasons the development of accurate and efficient EM models, together with an appropriate use of computational resources is a research topic with a strong industrial interest. In this paper, authors' present the work done in the project 'Cloud Fast Scalable EM Modeling - CloudCEM' [partially funded by POR/FESR of Piedmont Region (2007-2013)]. CloudCEM proposes Cloud Computing technology for the solution of EM problems in order to reduce processing time, reduce costs and optimize computing resources. © 2014 IEEE. Source


Caragnano G.,Advanced Computing and Electromagnetics | Mossucca L.,Advanced Computing and Electromagnetics | Francavilla M.A.,Advanced Computing and Electromagnetics | Ruiu P.,Advanced Computing and Electromagnetics | Terzo O.,Advanced Computing and Electromagnetics
International Journal of High Performance Computing and Networking | Year: 2015

Cloud computing has recently attracted attention in numerical simulation fields; its appeal is mainly due to the possibility of providing high computational resources at low cost. Computational electromagnetics (CEMs), aimed at numerically predicting the electromagnetic behaviour of arbitrary objects (e.g., aircrafts, satellites, ships, antennas, etc.), often requires computational resources unavailable on single workstations. This is where cloud computing comes into play, as a potential low cost solution for the EM analysis. For these reasons, the development of accurate and efficient EM models, together with an appropriate use of computational resources in cloud is a research topic with a strong industrial interest. In this work, the authors present the results of the cloud infrastructure for CEM problems developed within the project 'Cloud fast scalable EM modelling - CloudCEM'. Copyright © 2015 Inderscience Enterprises Ltd. Source


Caragnano G.,Advanced Computing and Electromagnetics | Francavilla M.A.,Advanced Computing and Electromagnetics | Giordanengo G.,Advanced Computing and Electromagnetics | Giordanengo G.,Polytechnic University of Turin | And 6 more authors.
Proceedings of the 2015 International Conference on Electromagnetics in Advanced Applications, ICEAA 2015 | Year: 2015

Some numerical results about the use of a Reduced Order Model to map currents to their radiated field in the presence of a scatterer are shown for antenna design and placement. © 2015 IEEE. Source

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