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2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Multiple Precision for Resource Minimization
Napa, California
April 17-April 19
ISBN: 0-7695-0871-5
George A. Constantinides, Imperial College
Peter Y.K. Cheung, Imperial College
Wayne Luk, Imperial College
This paper presents the Synoptix high-level synthesis and precision optimization system for FPGAs. Given abstract specifications in the form of infinite precision signal flow graphs and a set of error constraints; Synoptix will create hardware descriptions of fixed-point arithmetic implementations. The width of each signal is individually optimized in order to achieve the minimal resource utilization while satisfying user-specified constraints such as signal-to-noise ratio. A heuristic for solving the optimization problem is introduced, and the results of implementations on an Altera Flex10k-based reconfigurable computing platform are reported. It is demonstrated that significant area reductions can be obtained by optimizing signal widths individually, compared to the use of a single uniform signal width.
Citation:
George A. Constantinides, Peter Y.K. Cheung, Wayne Luk, "Multiple Precision for Resource Minimization," fccm, pp.307, 2000 IEEE Symposium on Field-Programmable Custom Computing Machines, 2000
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