In this paper an efficient method devoted to estimate the velocity vectors field is investigated. The method is based on a quasi-interpolant operator and involves a large amount of computation. The operations characterizing the computational scheme are ideal for parallel processing because they are local, regular and repetitive. Therefore, the spatial parallelism of the process is studied to rapidly proceed in the computation on distributed multiprocessor systems. The process has shown to be synchronous, with good task balancing and requiring a small amount of data transfer.

In this paper deepdrawing FE analyses are performed on full three-dimensional and geometrically detailed thermoplastic sandwich plates with honeycomb cores. Forming analyses with bending in one and two directions are conducted. The importance of the out-of-plane core shear strength in these deepdrawing processes is pointed out.

This paper addresses an innovative method devoted to estimate the velocity vectors field of the apparent motion of brightness patterns. This task plays a fundamental role in many real-time computer vision applications. In this paper the flow field is performed by adopting a bivariate quasi-interpolant operator based on centered cardinal B-spline functions onto a non linear minimizing algorithm. The solving model involves massive computational amount so that high-performance computing need to rapidly proceed in the computations. Therefore an analysis of the process has been carried out on distributed multiprocessors platforms. The process has shown to be synchronous, with good tasks balancing and requiring few amount of data transfer.