Smart Centralized Regression (SCR) Sriram Kazhiyur

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Smart Centralized Regression (SCR) Sriram Kazhiyur
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Smart Centralized Regression (SCR) Sriram Kazhiyur Sounderrajan, Somasunder Kattepura Sreenath, Siddhant Kumar Yadav, Ajay Pennam, Aman Jain Accellera Systems Initiative 1 Outline Motivation SCR Architecture Smoke, Regression Case Study

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Smart Centralized Regression (SCR) Sriram Kazhiyur Sounderrajan,
Somasunder Kattepura Sreenath,
Siddhant Kumar Yadav, Ajay Pennam, Aman Jain © Accellera Systems Initiative 1<br>
02
Outline Motivation
SCR Architecture – Smoke, Regression
Case Study 1 - IP
Case Study 2 - SoC
SCR Additional Features – Debug Analyzer, Rerun, Reporting & Coverage
Configurable Parameters
Summary / Conclusion
Q & A © Accellera Systems Initiative 2<br>
03
Motivation DV closure – Regression pass , 100% Coverage
DV cycle-time optimization
No compromise on Quality of sign-off
Reduce manual effort  Save Engineering Bandwidth
Improve efficiency through automation
Crisp error reporting and classification
Efficient LSF/License utilization  Cost reduction
Generic solution usable across IP/SOC Projects © Accellera Systems Initiative 3<br>