TAO-BIST: a framework for testability analysis and optimization for built-in self-test of RTL circuits

Srivaths Ravi, Ganesh Lakshminarayana, Niraj K. Jha

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

In this paper, we present TAO-BIST, a framework for testing register-transfer level (RTL) controller-datapath circuits using built-in self-test (BIST). Conventional BIST techniques at the RTL generally introduce more testability hardware than is necessary, thereby causing unnecessary area, delay, and power overheads. They have typically been applied to only applications-specific integrated circuits (ASICs). TAO-BIST adopts a three-phased approach to provide an efficient BIST framework at the RTL. In the first phase, we identify and add an initial set of test enhancements to the given circuit. In the second phase, we use regular-expression based high-level symbolic testability analysis of a BIST model of the circuit to completely encapsulate justification/propagation information for the modules under test. The regular expressions so obtained are then used to construct a Boolean function in the final phase for determining a test enhancement solution that meets delay constraints with minimal area overheads. Our method is applicable to a wide spectrum of circuits including ASICs, application-specific programmable processors (ASPPs), application-specific instruction processors (ASIPs), digital signal processors (DSPs), and microprocessors. Experimental results on a number of benchmark circuits show that high fault coverage (>99%) can be obtained with our scheme. The average area and delay overheads due to TAO-BIST are only 6.0% and 1.5%, respectively, for a bit-width of 16. These overheads decrease further with an increase in bit-width. The test application time to achieve the high fault coverage for the whole controller-datapath circuit is also quite low.

Original languageEnglish (US)
Pages (from-to)894-906
Number of pages13
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume19
Issue number8
DOIs
StatePublished - Aug 1 2000

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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