Final Report : Rotman Lens Sidewall Design and Optimization with Hybrid Hardware / software Based Programming

Number of Papers published in peer-reviewed journals: Final Report: Rotman Lens Sidewall Design and Optimization with Hybrid Hardware/software Based Programming Report Title This final report provides a summary of the tasks completed under this contract: 1. Hybrid bio-inspired optimization: This task involves developing a hybrid bio-inspired optimization algorithm which enhances the Artificial Immune System (AIS) algorithm with techniques borrowed from PSO and GA. Preliminary results with three challenging mathematical test functions were shown to be promising in terms of the performance of the enhanced AIS (EAIS) algorithm. 2. Hybrid method for electrically large structures: This task involves developing a hybrid code that can combine analytical, numerical and asymptotic techniques as they best fit to the problem at hand to simulate electrically large structures. 3. Rotman lens applications: This task involves the application of hybrid techniques to model printed Rotman lenses. 4. Parallelization of full-wave techniques on hybrid platforms: This task involves developing a hybrid MoM-FMM code that utilizes CPU as well as GPU to handle problem sizes in the order of 10 Million unknowns. By utilizing hybrid techniques in addition to hybrid programming platforms, we have been able to demonstrate that we can solve electromagnetic problems with 10 Millions of unknowns with the 13 node GPGPU cluster we have in place. OUr experimental results validate the scalability of our code, achieving a close to linear performance as the number of nodes are increased. (a) Papers published in peer-reviewed journals (N/A for none) Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing. List the papers, including journal references, in the following categories: (b) Papers published in non-peer-reviewed journals (N/A for none) 14.00