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Proceedings Paper

Accelerating multiphysics modeling using FPGA
Author(s): Xin-Ming Huang; Jing Ma
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Paper Abstract

Multiphysics system involves the interaction of different processes, including electrical, mechanical, and chemical processes. Modeling a multiphysics system is a complicated task. A physically-based modeling technique starts with a set of governing differential equations. Analytic solution is hard to achieve, and numerical simulation generally requires intensive computation power and excessive execution time. A general purpose processor is unable to satisfy both the performance and the speed requirement. This paper presents a FPGA-based architecture that could speed up multiphysics system modeling in an order of one to two magnitudes. Hardware architectures for equations used to modeling both linear and nonlinear systems are presented, which provide an FPGA-based platform where multiple equations can perform integration simultaneously in a collaborative mode. This new methodology utilizes both parallel and pipeline mechanisms of the FPGA to accelerate complex system simulation. The performance of the FPGA-based architectures is tested using the initial value problem case studies. The implementation results show that the FPGA-based computing engine provides satisfactory computation accuracy, fast implementation speed, and affordable low cost.

Paper Details

Date Published: 12 April 2004
PDF: 12 pages
Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); doi: 10.1117/12.546429
Show Author Affiliations
Xin-Ming Huang, Univ. of New Orleans (United States)
Jing Ma, Univ. of New Orleans (United States)


Published in SPIE Proceedings Vol. 5439:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II
Harold H. Szu; Mladen V. Wickerhauser; Barak A. Pearlmutter; Wim Sweldens, Editor(s)

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