Multiple Precision for Resource Minimization

  • Authors:
  • George A. Constantinides;Peter Y. K. Cheung;Wayne Luk

  • Affiliations:
  • -;-;-

  • Venue:
  • FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
  • Year:
  • 2000

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Abstract

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.