A Multiple-FPGA Parallel Computing Architecture for Real-Time Simulation of Soft-Object Deformation

作者：Mahdavikhah Behzad^*; Mafi Ramin; Sirouspour Shahin; Nicolici Nicola

来源：ACM Transactions on Embedded Computing Systems, 2014, 13(4): 81.

DOI：10.1145/2560031

• Design
• Algorithms
• Performance
• Parallel computing
• high-performance computing
• hardware acceleration
• field-programmable gate array
• deformation modeling
• soft-tissue modeling
• real-time simulation
• conjugate gradient method
• finite-element method

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.

• 出版日期2014-11