Scalable deterministic logic built-in self test

Abstract

The core-based design style of integrated circuits (ICs) helps to manage the development challenges brought by the ever increasing complexity of integrated systems and the ever tighter time-to-market. Nevertheless, test-related problems are still far away from having a unitary and satisfactory solution, especially in the system on a chip (SOC) context. For the test of ICs two reference approaches are available: external testing and built-in self-test (BIST), out of which a variety of hybrid test strategies are obtained by test resource partitioning (TRP). The final goal is to provide advantageous tradeoffs of the test evaluation indicators like: test development and application cost, hardware overhead, fault coverage, etc. BIST offers support for in-field, on-line, burn-in and at-speed test that is indispensable for delay fault testing. Moreover, tradeoffs between fault coverage, hardware overhead and test length are possible. External testing is characterized by flexibility, reduced hardware overhead and high fault coverage for a given test length. Deterministic logic BIST (DLBIST) is an attractive test strategy, since it combines the advantages of deterministic external testing and pseudo-random logic BIST (LBIST). Unfortunately, previously proposed DLBIST methods are unsuited for large ICs, since computation time and memory consumption of the DLBIST synthesis algorithms increase exponentially, or at least cubically, with the circuit size. In this work, a novel procedure for the development of the so-called bit-flipping DLBIST scheme is proposed, which has nearly linear complexity in terms of both computation time and memory consumption. This new method is based on the use of Binary Decision Diagrams (BDDs). The efficiency of the employed algorithms is demonstrated for industrial designs containing up to 2M gates. The embedded test sequences obtained by mapping deterministic cubes to pseudorandom sequences are also evaluated with respect to the coverage of non-target defects, which are modeled with the help of resistive bridging faults. The experimental results prove that both deterministic cubes and pseudo-random sequences are useful for detecting non-target defects. Moreover, possible tradeoffs between test length, hardware overhead, fault coverage and non-target defect coverage are analyzed. This work additionally presents the results of extending the bit-flipping DLBIST scheme such that it also supports the transition fault testing besides the stuck-at fault testing. Transition faults model defects which are responsible for the incorrect operation of the core under test (CUT) at the desired speed. The importance of these defects is continuously enhanced by the ever increasing clock rates and integration density of today’s circuits. Experimental results obtained for large industrial benchmark designs are reported. No pure DLBIST approach for the test of delay faults in circuits with standard scan design has been published so far.