Accelerating multiphysics modeling using FPGA

Xin-Ming Huang; Jing Ma

doi:10.1117/12.546429

12 April 2004 Accelerating multiphysics modeling using FPGA

Xin-Ming Huang, Jing Ma

Proceedings Volume 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II; (2004) https://doi.org/10.1117/12.546429
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Xin-Ming Huang and Jing Ma "Accelerating multiphysics modeling using FPGA", Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); https://doi.org/10.1117/12.546429

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available