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LynxNXT Automation System can be leveraged to create and automate flows for many critical implementation, validation, regression, and correlation tasks; enabling engineers to focus on achieving project goals. It allows designers to start with the integrated Fusion Platform Methodology (Figure 1), or customize tool capabilities and methodologies based on project-specific requirements by integrating third-party tools as needed.
The Fusion Platform Manager flow is tuned to deliver superior quality of results with the tools from the 草榴社区 Fusion Design Platform. Built on silicon-proven Fusion-based reference methodologies, the Fusion Platform Methodology can easily be used for rapid Fusion-based tool flow deployment and adoption.
Figure 1: The Benefits of Fusion Platform Methodology
With the Fusion Platform Manager, flow configuration can include 草榴社区 tools such as Fusion Compiler, Design Compiler? NXT, TestMAX? DFT, PrimeTime?, IC Compiler II, IC Validator, SpyGlass, Formality, and StarRC?. Used within LynxNXT, this hierarchical, RTL-to-GDSII implementation flow includes the following features:
- Built-in methodologies for design optimization, including optimizations for low power, area, performance, and manufacturability
- Full-chip hierarchical RTL-to-GDSII support
- Design environment support for job distribution, job submission optimization, revision control and data management
- Project-based deployment model enabling multi-site and multi-user support
- Full technical support and regular updates to the latest tools and methodologies
Figure 2: Sample Flow Templates included with LynxNXT
While the LynxNXT Automation System flow is tuned to deliver superior quality of results with the 草榴社区 Fusion Design Platform? other custom or third-party tools can be readily incorporated into the design flow by updating standards-based and well understood TCL scripts. Such customized flows can include flows for regression, correlation- library QA, multi-node IP verification. Sample flow structure templates are included as shown in Figure 2 above.
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