Solving tri-diagonal linear systems using field programmable gate arrays
Warne, David, Kelson, Neil A., & Hayward, Ross F. (2012) Solving tri-diagonal linear systems using field programmable gate arrays. In 4th International Conference on Computational Methods (ICCM 2012), 25-28 November 2012, Crowne Plaza, Gold Coast, QLD. (Unpublished)
In this paper, we present the outcomes of a project on the exploration of the use of Field Programmable Gate Arrays (FPGAs) as co-processors for scientific computation. We designed a custom circuit for the pipelined solving of multiple tri-diagonal linear systems. The design is well suited for applications that require many independent tri-diagonal system solves, such as finite difference methods for solving PDEs or applications utilising cubic spline interpolation. The selected solver algorithm was the Tri-Diagonal Matrix Algorithm (TDMA or Thomas Algorithm). Our solver supports user specified precision thought the use of a custom floating point VHDL library supporting addition, subtraction, multiplication and division. The variable precision TDMA solver was tested for correctness in simulation mode. The TDMA pipeline was tested successfully in hardware using a simplified solver model. The details of implementation, the limitations, and future work are also discussed.
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|Item Type:||Conference Item (Presentation)|
|Keywords:||FPGA, Matrix Factorisation, Hardware Acceleration, RASC, Tri-Diagonal Matrix Algorithm, Reconfigurable Computing|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical Analysis (010301)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMPUTER HARDWARE (100600) > Arithmetic and Logic Structures (100601)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMPUTER HARDWARE (100600) > Processor Architectures (100606)
|Divisions:||Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support
Current > Schools > School of Electrical Engineering & Computer Science
Current > Research Centres > High Performance Computing and Research Support
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 please consult the authors.|
|Deposited On:||02 Jan 2013 04:29|
|Last Modified:||02 Jan 2013 04:32|
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