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Showing papers on "FLOPS published in 1997"


Proceedings ArticleDOI
25 Jun 1997
TL;DR: This paper addresses some of the shortcomings of the popular flip flop selection methods, based on cutting cycles present in the graph of the circuit structure, and proposes a new approach which selects the fewest number of flip flops required to obtain high fault coverage for all partial scan circuits.
Abstract: This paper addresses the problem of flip flop selection for partial scan in sequential circuits. In particular it addresses some of the shortcomings of the popular flip flop selection methods, based on cutting cycles present in the graph of the circuit structure. Previous approaches assume that cutting all cycles makes the circuit totally testable, which is not always true. In the proposed approach, first subsets of flip flops are formed based on cycles in the S-graph and flip flops with self-loops. Flip flops are selected from these subsets based on a testability measure which uses an approximate valid state analysis. Once a flip flop is selected from a subset, testability measures may indicate the need for more flip flops, thus possibly selecting more flip flops than required for minimum cycle cutting. The goal is to select the fewest number of flip flops required to obtain high fault coverage for all partial scan circuits. Experimental results on the benchmark circuits show that a test generation efficiency near 100% is achieved for most circuits.

18 citations


Proceedings ArticleDOI
12 Oct 1997
TL;DR: A Genetic Algorithm is proposed providing a sequence that aims at initializing the highest number of flip flops with the lowest number of vectors, which is feasible to be applied even to the largest benchmark circuits.
Abstract: This paper presents a new approach to the automated generation of an initialization sequence for synchronous sequential circuits. Finding an initialization sequence is a hard task when a global reset signal is not available, and functional techniques often cannot handle large circuits. We propose a Genetic Algorithm providing a sequence that aims at initializing the highest number of flip flops with the lowest number of vectors. The experimental results we provide shore that the approach is feasible to be applied even to the largest benchmark circuits and that it compares well to other known approaches in terms of initialized flip flops and sequence length.

11 citations