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Efficient modeling of memory arrays in symbolic simulation

  • Miroslav Velev
  • Randal E. Bryant
  • Alok Jain
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1254)

Abstract

This paper enables symbolic simulation of systems with large embedded memories. Each memory array is replaced with a behavioral model, where the number of symbolic variables used to characterize the initial state of the memory is proportional to the number of memory accesses. The memory state is represented by a list containing entries of the form 〈c, a, d〉, where c is a Boolean expression denoting the set of conditions for which the entry is defined, a is an address expression denoting a memory location, and d is a data expression denoting the contents of this location. Address and data expressions are represented as vectors of Boolean expressions. The list interacts with the rest of the circuit by means of a software interface developed as part of the symbolic simulation engine. The interface monitors the control lines of the memory array and translates read and write conditions into accesses to the list. This memory model was also incorporated into the Symbolic Trajectory Evaluation technique for formal verification. Experimental results show that the new model significantly outperforms the transistor level memory model when verifying a simple pipelined data path.

Keywords

Memory Location Memory State Register File Boolean Expression Read Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Miroslav Velev
    • 1
  • Randal E. Bryant
    • 2
  • Alok Jain
    • 3
  1. 1.Department of Electrical and Computer EngineeringCarnegie Mellon UniversityPittsburgh
  2. 2.School of Computer ScienceCarnegie Mellon UniversityPittsburgh
  3. 3.Department of Electrical and Computer EngineeringCarnegie Mellon UniversityPittsburgh

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