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Normalization at the arithmetic bit level
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 42nd annual Design Automation Conference table of contents
Anaheim, California, USA
SESSION: Effective formal verification using word-level reasoning, bit-level generality, and parallelism table of contents
Pages: 457 - 462  
Year of Publication: 2005
ISBN:1-59593-058-2
Authors
Markus Wedler  University of Kaiserslautern/Germany
Dominik Stoffel  University of Kaiserslautern/Germany
Wolfgang Kunz  University of Kaiserslautern/Germany
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 28,   Citation Count: 4
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ABSTRACT

We propose a normalization technique for verifying arithmetic circuits in a bounded model checking environment. Our technique operates on the arithmetic bit level (ABL) description of the arithmetic circuit parts and the property. The ABL description can easily be provided by the front-end of an RTL property checker. The proposed normalization greatly simplifies the SAT instances to be solved for arithmetic circuit verification. Our approach has been applied successfully to verify the integer pipeline of an industrial microprocessor with advanced DSP capabilities.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Infineon TriCore 2 Architecural Manual. http://www.infineon.com/tricore.
 
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N. Een and N. Sörensson. An extensible SAT-solver. In Proc. 6. Intl. Conf. on Theory and Applications of Satisfiability Testing(SAT 2003), May 2003.
 
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F. Fallah, S. Devadas, and K. Keutzer. Functional vector generation for HDL models using linear programming and boolean satisfiability. IEEE Transactions on CAD, CAD-20(8), 2001.
 
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P. Johannsen and R. Drechsler. Formal verification on the RT level computing one-to-one design abstractions by signal width reduction. In Proc. IFIP International Conference on Very Large Scale Integration(IFIP VLSI-SOC 2001), Montpellier, France, 2001.
 
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Collaborative Colleagues:
Markus Wedler: colleagues
Dominik Stoffel: colleagues
Wolfgang Kunz: colleagues