Conditional resource sharing method for behavioral synthesis of highly testable data paths

Tien Chien Lee, Niraj Kumar Jha, Wayne H. Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Existing conditional resource sharing methods used in behavioral synthesis focus on area and performance optimization and do not consider testability. This paper extends our previous work to handle conditional branches. A hierarchical control-data flow graph (HCDFG) is used to model the system behavior. A postorder traversal of the HCDFG is employed to reduce sequential depths and loops for testability synthesis. Experimental results for the benchmarks show that our method, with no a priori test strategy assumption, can achieve higher fault coverage in shorter test generation time than an algorithm which disregards testability, and, with partial scan test assumption, can have high testability with fewer scan registers than some design-for-test methods.

Original languageEnglish (US)
Title of host publicationProceedings of the International Test Conference
Editors Anon
PublisherPubl by IEEE
Pages744-753
Number of pages10
ISBN (Print)0780314298
StatePublished - Dec 1 1993
EventProceedings of the 24th IEEE International Test Conference - Baltimore, MD, USA
Duration: Oct 17 1993Oct 21 1993

Other

OtherProceedings of the 24th IEEE International Test Conference
CityBaltimore, MD, USA
Period10/17/9310/21/93

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Lee, T. C., Jha, N. K., & Wolf, W. H. (1993). Conditional resource sharing method for behavioral synthesis of highly testable data paths. In Anon (Ed.), Proceedings of the International Test Conference (pp. 744-753). Publ by IEEE.