A methodology to collect and process coverage in python will be presented. It will be contrasted with conventional SV implementations and the pros and cons explored.
3 Key Points:
Collecting & processing coverage in python yields productivity improvements
It can be leveraged to enable extended tools and performance
It does have a maintenance overhead as well as a learning curve for new engineers
Svet started his career at CERN in 2014 where he stayed until 2017 working on the ALPIDE Pixel Sensor chip for the LHC upgrade. For the past 4 years he’s been part of the verification team working on the IPU at Graphcore.
DVCLUB Europe is made possible through the generosity of our sponsors.