EDA Analytics Central
While there is an art to chip design, measuring design processes can result in precious data that help advancing the science of chip design.
System-on-Chip (SoC) design flows yield a huge amount of data that can be useful in optimizing the design process and achieving maximum productivity.
However, there currently exists no solution that makes it easy to collect, store and analyze data coming out of a SoC design flow.
EDA Analytics Central (EDAAC) addresses this problem by building on top of a previously well-studied data collection specification, called METRICS [1, 2].
The goal of EDAAC is to make it painless to perform the following tasks:
$ pip install edaac
https://edaac.readthedocs.io/en/latest/
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[1] Fenstermaker, Stephen, et al. “METRICS: a system architecture for design process optimization.” Proceedings of the 37th Annual Design Automation Conference. ACM, 2000.
[2] Kahng, Andrew B., and Stefanus Mantik. “A system for automatic recording and prediction of design quality metrics.” Proceedings of the IEEE 2001. 2nd International Symposium on Quality Electronic Design. IEEE, 2001.