تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
Applied Parallel Computing ; State of the Art in Scientific Computing
Introduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA’94, PARA’95 and PARA’96 in Lyngby, Denmark, PARA’98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title “State of the Art in Scienti?c Computing.
Applications of Membrane Computing
Membrane computing is a branch of natural computing which investigates computing models abstracted from the structure and functioning of living cells and from their interactions in tissues or higher-order biological structures. The models considered, called membrane systems (P systems), are parallel, distributed computing models, processing multisets of symbols in cell-like compartmental architectures. In many applications membrane systems have considerable advantages – among these are their inherently discrete nature, parallelism, transparency, scalability and nondeterminism.
Advances in Information Technologies for Electromagnetics
Simple tutorial chapters introduce the reader to cutting edge technologies, such as parallel and distributed computing, object-oriented technologies, grid computing, semantic grids, agent based computing and service-oriented architectures. On such bases, a variety of EM applications is proposed: 1) parallel FDTD codes (both for antenna analysis and for metamaterial applications), 2) grid computing for computational EM (CEM) (with applications to antenna arrays, wireless and remote-sensing systems) 3) mobile agents for parametric CEM modeling 4) complex/hybrid EM software environments (with applications to planar circuits, quasi-optical systems,…) 5) semantic grids for CAE of antennas arrays.
