A Multiple-FPGA parallel computing architecture for real-time simulation of soft-object deformation

Author:

Mahdavikhah Behzad1,Mafi Ramin2,Sirouspour Shahin2,Nicolici Nicola2

Affiliation:

1. University of Toronto

2. McMaster University

Abstract

Hardware-based parallel computing is proposed for acceleration of finite-element (FE) analysis of linear elastic deformation models. An implementation of the Preconditioned Conjugate Gradient algorithm on N Field Programmable Gate Array (FPGA) devices solves the large linear system of equations arising from the FE discretization. The system employs a large number of customized fixed-point computing units with a high-throughput memory architecture. An implementation of this scalable architecture on four Altera EP3SE110 FPGA devices yields a peak performance of 604 Giga Operations per second. This enables haptic simulation of a 3-dimensional deformable object of 21000 elements at an update rate of 400Hz.

Funder

Ontario Centres of Excellence (OCE) for this project

Quanser Consulting Inc., the Health Technology Exchange

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference45 articles.

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3. Finite element modeling in surgery simulation

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