Invention Grant
- Patent Title: Adaptive state-to-symbolic transformation in a canonical representation
- Patent Title (中): 规范表示中的自适应状态到符号转换
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Application No.: US12430322Application Date: 2009-04-27
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Publication No.: US08099690B2Publication Date: 2012-01-17
- Inventor: Dhiraj Goswami , Ngai Ngai William Hung , Jasvinder Singh , Qiang Qiang
- Applicant: Dhiraj Goswami , Ngai Ngai William Hung , Jasvinder Singh , Qiang Qiang
- Applicant Address: US CA Mountain View
- Assignee: Synopsys, Inc.
- Current Assignee: Synopsys, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Park, Vaughan, Fleming & Dowler LLP
- Agent Laxman Sahasrabuddhe
- Main IPC: G06F17/50
- IPC: G06F17/50

Abstract:
Some embodiments provide a system for adaptively performing state-to-symbolic transformation in a canonical representation which is used for generating random stimulus for a constrained-random simulation. The system can construct a canonical representation for a set of constraints using the set of random variables and the subset of the state variables in the constraints. Next, the system can use the canonical representation to generate random stimulus for the constrained-random simulation, and monitor parameters associated with the constrained-random simulation. Next, the system can add state variables to or remove state variables from the canonical representation based at least on the monitored parameters. The system can then use the modified canonical representation which has a different set of state variables to generate random stimulus for the constrained-random simulation.
Public/Granted literature
- US20100275169A1 ADAPTIVE STATE-TO-SYMBOLIC TRANSFORMATION IN A CANONICAL REPRESENTATION Public/Granted day:2010-10-28
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