Using program specialization to speed SystemC fixed-point simulation

  • Authors:

  • Stephen A. Edwards

  • Affiliations:

  • Columbia University, New York

  • Venue:
  • Proceedings of the 2006 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation
  • Year:
  • 2006

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Abstract

Generic simulation components, such as fixed-precision arithmetic routines, make it easier to quickly assemble system simulations, but generic components tend to simulate more slowly than their manually-written specialized counterparts. So a system modeler is normally forced to choose between building a simulation quickly or running it quickly.This paper explores the use of program specialization as a way to address this conundrum. Through hints provided by the author of a generic library and aggressive compiler optimizations, program specialization can automatically rewrite a generic component into a specialized one with performance comparable to a careful manual implementation. As a result, the user of such a specializable library can quickly assemble a simulation from generic components whose performance can equal that of a more tedious implementation.Experimental results show that program specialization provides a three- to seven-times speed-up on an important class of simulations: signal processing kernels in SystemC that manipulate fixed-precision numbers.