Conference Paper
Implementation of threedimensional FPGAbased FDTD solvers: an architectural overview
EM Photonics, Inc.
DOI: 10.1109/FPGA.2003.1227265 Conference: FieldProgrammable Custom Computing Machines, 2003. FCCM 2003. 11th Annual IEEE Symposium on Source: DBLP

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ABSTRACT: Modeling, simulation and optimization using com puting tools are the core approach nowadays in science com plementary to experiment and theory. Computational Fluid Dynamics (CFD) has evolved many years ago to simulate fluid physics by solving NavierStokes equations, or its simple variants, Euler equations. However, most problems spend many hours to get solutions even with expensive supercomputers or clusters. The long computation time required for fluid dynamics simulations has lead the industry to look for some alternatives. Field Programmable Gate Arrays (FPGAs) are becoming more and more attractive for high precision scientific computations. FPGA holds the potential to alleviate this situations. It is possible for an FPGA to configure hundreds of multipliers working concurrently. In this paper, the authors explain the design on implementing the onedimensional Euler equations in hardware. Two designs with single and double floatingpoint arithmetic are developed in an FPGA. Synthesis results show that a single floatingpoint arithmetic design is consumed less area and memory usage, also operating at higher frequency. However, doubleprecision design is crucial for give a better accuracy of the result. I. INTRODUCTION01/2011;  [Show abstract] [Hide abstract]
ABSTRACT: This paper investigates the utilization of field programmable gate arrays (FPGAs) in the acceleration of numerically intensive electromagnetics applications. We investigate the speed improvement by employing FPGAs for two different applications: (i) the optimization of a phased array antenna pattern by amplitude control using the ant colony optimization algorithm, (ii) implementation of the rigorous coupled wave (RCW) analysis technique for the design of engineered materials. The first application utilizes FPGAs as the only processor; i.e., all functionalities of the algorithm reside on the FPGA. The second one employs a hybrid hardware/software approach where the FPGA serves as a coprocessor to the CPU. The hybrid approach identifies the most numerically intensive part of the RCW algorithm and implements it on the FPGA. In both applications we demonstrate orders of magnitude of improvement in speed proving that FPGAs are highly flexible platforms suited well for the challenging electromagnetics problems. An overview of available FPGA platforms for scientific computing and how they compare are also presented in the paper.
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