1. Proprietary Metrics Handoff to the GSRC Stephen Fenstermaker and Bart Thielges Sept. 24, 1999

2. Proprietary Siemens (HL Group, Munich) created Semi-custom Highway SOC Flow - 1997 Metrics sub-project: - Fully Instrument Semi-custom Highway Flow - Develop Metrics Data Warehouse, Prediction, and Reporting engines - Develop Web based Project Prediction and Status software - Hopefully prove positive ROI for new Flow (more goals on next slide) - 1997 OxSigen became main R&D and Implementation Partner…with exclusive rights to commercialize developed technology (no equity) - 1997-1998 Working Prototype in Munich and San Jose - 1998-1999 OxSigen shops business plan to EDA community, OxSigen contacts Prof. Kahng at UCLA Siemens (HL Group, Munich) created Semi-custom Highway SOC Flow - 1997 Metrics sub-project: - Fully Instrument Semi-custom Highway Flow - Develop Metrics Data Warehouse, Prediction, and Reporting engines - Develop Web based Project Prediction and Status software - Hopefully prove positive ROI for new Flow (more goals on next slide) - 1997 OxSigen became main R&D and Implementation Partner…with exclusive rights to commercialize developed technology (no equity) - 1997-1998 Working Prototype in Munich and San Jose - 1998-1999 OxSigen shops business plan to EDA community, OxSigen contacts Prof. Kahng at UCLA History of Metrics at OxSigen

3. Proprietary Accurate Resource Prediction At any point in Design Cycle - Up Front estimates for People, Time, Technology, EDA Licenses, IP re-use... - Go/No-Go at earliest point Accurate Project Post-mortems - Everything tracked - tools, flows, users, notes (Retro-Gantt Chart) - Optimize for next Project based on past results - No “loose”, random data or information left at Project end (log files!!!) ROI for new Flows, Tools, IPs - Benchmarking in-house and external service providers Management Console - Web-based, status-at-a-glance of Tools, Designs, Systems at any point in project No wasted resources - prevent out of sync runs - no duplication of data or effort Accurate Resource Prediction At any point in Design Cycle - Up Front estimates for People, Time, Technology, EDA Licenses, IP re-use... - Go/No-Go at earliest point Accurate Project Post-mortems - Everything tracked - tools, flows, users, notes (Retro-Gantt Chart) - Optimize for next Project based on past results - No “loose”, random data or information left at Project end (log files!!!) ROI for new Flows, Tools, IPs - Benchmarking in-house and external service providers Management Console - Web-based, status-at-a-glance of Tools, Designs, Systems at any point in project No wasted resources - prevent out of sync runs - no duplication of data or effort Management Goals for Metrics

4. Proprietary Anticipated Realization of Metrics Metrics Data Warehouse Tool xmitter Data-Mining Reporting Inter/Intra-net Server Java Applets Web Browsers Wrapper, embedded AI

5. Proprietary Needs Broader Customer Focus and Input - EDA Companies not quite ready: Not a Simulator or Place&Route System ! - Aversion to measuring anything (Tools) because of vendor competitive issues - Chicken-or-egg scenario with embedding transmitters (University, In-house tools) Interest, Expertise, and Mission - Prof. Kahng has been championing Metrics! Andrew has also provided technical feedback and been a good friend Tool Metrics and Data-Mining: A Perpetual R&D Process - Good application for largely untapped AI research; many open research topics Achieving a Standard is Most Important at This Stage - Agreement on Metrics Terms critical…especially across vendor tools Needs Broader Customer Focus and Input - EDA Companies not quite ready: Not a Simulator or Place&Route System ! - Aversion to measuring anything (Tools) because of vendor competitive issues - Chicken-or-egg scenario with embedding transmitters (University, In-house tools) Interest, Expertise, and Mission - Prof. Kahng has been championing Metrics! Andrew has also provided technical feedback and been a good friend Tool Metrics and Data-Mining: A Perpetual R&D Process - Good application for largely untapped AI research; many open research topics Achieving a Standard is Most Important at This Stage - Agreement on Metrics Terms critical…especially across vendor tools Why Hand-Off to MARCO GSRC

6. Proprietary - Main contact: ABKGroup at UCLA - Presentations, Schemas, Code, even Business Plan… (no Siemens-proprietary information (mostly data-mining related)) - OxSigen desires to help, partner and work with the GSRC - Main contact: ABKGroup at UCLA - Presentations, Schemas, Code, even Business Plan… (no Siemens-proprietary information (mostly data-mining related)) - OxSigen desires to help, partner and work with the GSRC Hand-off to Marco OxSigen is giving MARCO GSRC access to all materials it has developed related to Metrics, for Non-Commercial Use