Leveraging a Custom CPython Data Model for High Performance
Explore the challenges and solutions in analyzing large-scale data for high-performance microprocessor design in this PyCon US talk. Dive into the Design Data (DD) data model, a technological breakthrough addressing key challenges in integrated circuit design, analysis, and debugging. Learn how this custom domain-specific read-only binary data model, implemented using C++, CPython, and Python method bindings, efficiently manages design components, reporting, data linking across time, and provides a reliable, scalable platform. Discover how the C++ implementation enables efficient graph traversal, custom interactive analysis, and design graph visualization. Understand the benefits of compressible binary format for version comparison in multi-year projects. Gain insights into integrating modern Free Open-Source Software technologies into complex Electronic Design Automation (EDA) ecosystems. Get inspired to experiment with C/C++ and CPython bindings in your application workflow and explore innovative ways to integrate Data Science methods into your domain. Read more