Presentation
A Real-Time Metric‑Driven Scorecard for Quantifying and Benchmarking Physical‑Design Quality and Deployment Progress
DescriptionProblem Statement & Motivation
• This paper presents an automated scorecard analysis system designed to systematically evaluate and track design quality metrics throughout the development cycle.
• The system provides quantifiable insights into design using a weighted categorical scoring approach, highlighting optimization opportunities and flow gaps, enabling project teams to make informed decisions based on severity-categorized metrics.
• This Scorecard tracker application is designed to manage and display the scores of various physical design runs to ensure design quality through a structured checklist-based scoring process. This tool presents designers with categorized information to enable pin-pointed evaluation to improve quality while reducing manual efforts, leading to improved turnaround time for design closure.
• The tool offers various features such as quality assessment of flow logs, quality checks on run environment, highlighting missed checks and ensuring each manual checks is run and cleaned up. This is done along with binning checks into different categories to help designers prioritize debugs.
• The system allows users to monitor their runs efficiently. It is built with a focus on usability and monitoring various flow of physical design (Synthesis, PnR, reliability, CV, custom flows) which are used for the development of SOC.
• Results demonstrate improved prediction of design quality issues and more effective allocation of engineering resources, leading to measurable reductions in design iterations and validation time while maintaining high quality during implementation.
• Additionally, all the scores for each run, project and block are logged centrally which helps in analyzing trends of design closure during and after implementation of design. This can be an effective tool to collate learning during implementation and improving design cycle for up-coming designs.
• This paper presents an automated scorecard analysis system designed to systematically evaluate and track design quality metrics throughout the development cycle.
• The system provides quantifiable insights into design using a weighted categorical scoring approach, highlighting optimization opportunities and flow gaps, enabling project teams to make informed decisions based on severity-categorized metrics.
• This Scorecard tracker application is designed to manage and display the scores of various physical design runs to ensure design quality through a structured checklist-based scoring process. This tool presents designers with categorized information to enable pin-pointed evaluation to improve quality while reducing manual efforts, leading to improved turnaround time for design closure.
• The tool offers various features such as quality assessment of flow logs, quality checks on run environment, highlighting missed checks and ensuring each manual checks is run and cleaned up. This is done along with binning checks into different categories to help designers prioritize debugs.
• The system allows users to monitor their runs efficiently. It is built with a focus on usability and monitoring various flow of physical design (Synthesis, PnR, reliability, CV, custom flows) which are used for the development of SOC.
• Results demonstrate improved prediction of design quality issues and more effective allocation of engineering resources, leading to measurable reductions in design iterations and validation time while maintaining high quality during implementation.
• Additionally, all the scores for each run, project and block are logged centrally which helps in analyzing trends of design closure during and after implementation of design. This can be an effective tool to collate learning during implementation and improving design cycle for up-coming designs.
Event Type
Engineering Poster
TimeWednesday, July 293:00pm - 4:00pm PDT
LocationDAC Pavilion, Exhibit Floor