Towards a verification technique for large synchronous circuits

Journal ArticleWe present a symbolic simulation based verification approach which can be applied to large synchronous circuits. A new technique to encode the state and input constraints as parametric Boolean expressions over the state and input variables is used to make our symbolic simulation based verification approach efficient. The constraints which are encoded through parametric Boolean expressions can involve the Boolean connectives (-, + , ->), the relational operators (, >, =), and logical connectives (A, V). This technique of using parametric Boolean expressions vastly reduces the number of symbolic simulation vectors and the time for verification, thus making our verification approach applicable to large synchronous circuits. Our verification approach can also be applied for efficient modular verification of large designs; the technique used is to verify each constituent sub-module separately, however in the context of the overall design. Since regular arrays are part of many large designs, we have developed an approach for the verification of regular arrays which combines formal verification at the high level and symbolic simulation at the low level(e.g., switch-level). We show the verification of a circuit called Minmax, a pipelined cache memory system, and an LRU array implementation of the least recently used block replacement policy, to illustrate our verification approach. The experimental results are obtained using the COSMOS symbolic simulator

Efficient symbolic simulation based verification using the parametric form of boolean expressions (rev.)

technical reportWe present several new techniques to make symbolic simulation based verification efficient. These techniques hinge on the use of the parametric form of a boolean expression (e.g. the parametric form for the boolean expression XQ V -<xi is the equivalent expression 3a b . (XQ = a V 6) A (xi = b), where a and b are the parameters). We illustrate several uses of the parametric form that reduce the number of symbolic simulation vectors as well as the time for symbolic simulation based verification. In the first technique, applicable to the verification of non-regular designs, minimally instantiated symbolic simulation vectors are first generated, and all these vectors are encoded into one vector using parametric variables. The second technique also pertains to non-regular designs, and offers a way to compactly encode input constraints using the parametric form during symbolic simulation. The third technique relates to the verification of regular arrays. It is shown that many regular arrays require input constraints to be obeyed, and that these constraints can be encoded using parametric variables. Experimental results are obtained using the COSMOS symbolic simulator, and are used to compare the relative merits of the various techniques. In all the examples considered, the use of the parametric form enhances the speed of the symbolic simulation process, mainly through a favorable tradeoff between the number of simulation vectors (which are very much reduced) and the average number of symbolic variables per vector (which go up only by a small amount)