Achieve faster sign-off by automating your debug process with the Verisium Debug Python API

Описание: Automate your way to silicon success. Discover how the Verisium Debug Python API empowers you to create custom apps, query databases, and integrate AI/ML directly into your debug flow.

The Shift Toward Programmable Debugging :

As electronic designs scale to billions of transistors, the volume of data generated during simulation can be overwhelming. Manual navigation of waveform databases is no longer a sustainable strategy for meeting aggressive tape-out schedules. The Python API in Verisium Debug provides a programmable gateway to your design’s behavior.

Python was chosen for this integration due to its immense popularity among engineers and its robust ecosystem of libraries, offering an out-of-the-box experience for both beginners and experts alike. This functionality represents the next logical step in Verification Automation, transforming the debugger from a static viewer into a flexible data analysis platform.

The primary power of the API lies in its ability to perform complex Queries and facilitate deep Data Access. Engineers can programmatically traverse design hierarchies and waveform databases to find specific logical conditions or timing violations.

Database Interaction : Beyond simple reading, the API allows for writing Signal Values back into databases, including the specialized vwb waveform format. This is particularly useful for creating synthetic waveforms or annotating existing data with post-processed analysis results.

Custom App Development : Users can create interactive, GUI-based applications tailored to their specific projects. Examples include Hierarchical Bookmark Viewers and specialized tools for analyzing Transactions directly on the waveforms. This allows for information to be massaged and displayed exactly as the designer requires, rather than being limited to standard tool views.

Integrating AI and Machine Learning into Debugging :

One of the most innovative applications of the Python API is its synergy with Artificial Intelligence and Machine Learning (AI/ML). Because Python is the lingua franca of data science, engineers can now pull simulation data directly into ML models to perform predictive analysis or anomaly detection.

Post-processing : Data already available in Python scripts can be made available for sophisticated Post-process analysis.

Data Analysis : Python excels at Data Analysis, making it possible to identify complex failure patterns across multiple simulation runs that would be invisible to a human operator.

The API is designed to support different stages of the verification cycle. For high-volume regression testing, Batch Mode Processing allows scripts to run automatically without a GUI, extracting critical data and generating reports. Conversely, during the deep-dive phase of debugging, the API can be used interactively within the Verisium Debug GUI. Designers can load their custom apps at any time, bringing the full power of Python to their fingertips while they visually inspect design behavior.

Video Highlights & Timestamps :

0:11 – The Power of Python API for Verisium Debug Automation
0:44 – Why Automation is Essential for Modern Debug Processes
0:51 – Querying Data and Traversing Design Databases
1:03 – Writing Signal Values into vwb Waveform Databases
1:16 – Creating Custom Interactive Apps for the Debugger GUI
1:33 – Analyzing Transactions and Waveforms programmatically
1:49 – Leveraging AI and Machine Learning in the Verification Flow
2:03 – Maximizing Efficiency with Batch Mode Processing
2:31 – The Next Step in Advanced Verification Automation

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