Download Constraint-Based Verification by Jun Yuan PDF

By Jun Yuan

Constraint-Based Verification covers an rising box in sensible verification of digital designs, often called the "constraint-based verification. the themes are constructed within the context of quite a lot of dynamic and static verification ways together with simulation, emulation, and formal equipment. The objective is to teach how constraints, or assertions, can be utilized in the direction of automating the iteration of testbenches, leading to a continuing verification stream. themes resembling verification assurance, and reference to statement dependent verification, also are covered.The publication objectives verification engineers in addition to researchers. It covers either methodological and technical concerns. specific pressure is given to the most recent advances in sensible verification.The study neighborhood has witnessed contemporary development of pursuits in constraint-based practical verification. numerous options were built. they're really new, yet have reached a degree of adulthood in order that they are showing in advertisement instruments similar to Vera and method Verilog.

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Without user-specified weighting, the generated inputs follow the uniform distribution. Constraint solving in Simgen is preceded by several passes of optimizations, including extraction and simplification, partitioning, and decomposition [YKAP02, YPAA03]. 3 Prioritized Constraints To further enhance its constraint solving capacity, Simgen introduced a new concept called prioritized constraints. Prioritized constraints are basically normal constraints assigned with priority levels. The higher priority constraints are solved first, and the solution is propagated to the lower priority constraints before they are solved.

1. Constraint and randomization features of SVRC, SCV, and . 3 SystemVerilog Random Constraints In this section we cover the language constructs of SVRC. We begin with an overview of how constrained randomization takes place in a SystemVerilog High Level Verification Languages 43 environment. Following that, we describe how constraints and randomization are specified with the SVRC language. 1 Overview In SVRC, constraints and randomization are typically grouped into classes where each class contains some variables to be randomized, as well as constraints used in the randomization.

Constraint Logic Programming (CLP) CLP combines constraint solving and logic programming. A CLP tool may solve problems ranging from linear and non-linear constraints, to propositional logics, and even temporal logic. , SAT), mixed LP and ILP, and interval arithmetic, over the real, finite, and Boolean domains. When used in constrained random simulation, ILP, CP, SAT, and ATPG are classified as on-line approaches in the sense that the solution happens during simulation. BDD and BU are off-line because the solution happens when the BDDs and solution functions are constructed, usually before simulation.

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