5.6 Conclusions

In this chapter, we discussed the suitability of GC to support effective cooperative engineering when dealing with the problem of CAE of rectangular-aperture antenna arrays. The problem, known to be very computationally intensive, requires the use of a multiplicity of numerical techniques to be solved. This can often imply that a CAE tool must integrate heterogeneous software, possibly with a geographical distribution over the Internet, inside a unique framework. The efficient and effective cooperation of the codes must be supported, along with a rigorous respect for security issues and managing with the capability of brokering economical transactions when needed.

It has been proven that GC fulfills these requirements, as well as cost-effective HPC (as already proven in Chapter 4 and confirmed in this chapter). It can be concluded that the migration of complex computational EM applications towards GC can be fruitful in a wide variety of cases, when cooperative engineering, along with parallel computing, can be a candidate pathway to reduce design time and costs and improve the quality of devices.