Munich, Germany | May 13, 2025
At the User2User 2025 conference, the Usability Lab provides attendees with an opportunity to test the latest Siemens electronic design automation (EDA) software products.
Usability Lab participants can test: Calibre, Questa, PowerPro, Tessent and Catapult.
Run Calibre nmDRC Recon from PnR environment using Calibre RealTime Digital
In this lab, you will use Calibre RealTime Digital to run design rule checking (DRC) Recon on different regions of a design. Calibre RealTime Digital is an interface that can be integrated with different PNR/design tools, and it lets you run quality DRC checks early in the flow during the physical design phase. In this lab, we will use the Siemens Aprisa system-on-chip (SoC) design software as a place-and-route (PnR) environment to run Calibre nmDRC in Recon mode. Calibre nmDRC Recon technology reduces iteration and debug time by minimizing the rules and data required for DRC in early design iterations.
With a focus on finding transistor leakage and floating gates early in the design process, Insight Analyzer features an easy-to-use interface. In this lab, you will set up and run a project, then explore the results using the new Insight Visualizer feature, which draws each circuit violation as an annotated schematic, making it easy to understand a complex result. Insight Analyzer is part of the Calibre family, complementing Calibre PERC reliability flows much earlier in the custom digital and analog design flows.
Calibre nmDRC shift-left antenna analysis flows
In this lab, you will learn how to easily debug complex antenna violations using the Calibre antenna analysis flows. Debugging antenna violations in advanced nodes is a complex and time-consuming task. You will utilize the Calibre antenna analysis flows with two sets of capabilities to simplify and accelerate this process.
Artifical-intelligence-based run advisor in Calibre Interactive
This lab introduces a new run advisor that uses artificial intelligence to simplify Calibre setup and improve job performance and hardware utilization. The run advisor analyzes a Calibre DRC run and generates a report that gives the user recommendations on how they can improve the setup and hardware configuration for the next run. It also includes live job monitoring so users can easily track the progress of their Calibre job and quickly identify issues, like swap memory, in real time.
Multiple Job Submission GUI
This lab presents new productivity-focused enhancements in the Calibre Interactive Multiple Job Submission GUI, including a global settings mode for managing multiple jobs on a single design, support for custom pages and options, time-based job scheduling and various other improvements.
Utilize perpendicular rulers in Calibre DESIGNrev to accelerate Calibre nmDRC debug
Accelerate Calibre nmDRC debug on advanced nodes using the new perpendicular ruler mode in Calibre DESIGNrev.
Interactive symmetry (smarter check)
Extent-based symmetry checking can lead to many false violations. The smart checking option in the interactive symmetry solution works by identifying the true center of symmetry for a specific shape.
Optimize the performance of parasitic extraction runs in advanced nodes with Calibre xACT™ multi-corner flow
Set up Calibre xACT to perform simultaneous multi-corner extraction for advanced nodes, extracting all of the desired processes, multi-patterning and temperature corners in a single run.
Unlock the power of parasitic component analysis with Calibre RVE
Use Calibre RVE to analyze how parasitics are affecting your design response. You can highlight parasitic resistance and capacitance by layer, do point-to-point resistance and inductance calculations and show resistance heatmaps to identify problematic areas.
This lab explores smart editing capabilities in the Questa-Developer-guided register-transfer level (RTL) development workflow, ensuring high-quality designs. Participants will leverage templates to build a VHDL file, navigate efficiently with Go to Implementation/Declaration, leverage on-the-fly editor feedback for accelerated coding issue resolution; use integrated Lint analysis to detect design violations; and clean up the design code base using on-the-fly Lint Assist fixes and bulk fixes.
This lab introduces the Signature Predictor feature, an integral part of our AI/ML-powered Smart Debug solution within the Verification IQ Regression Navigator. By automating the grouping of failure signatures from your regression runs, the Signature Predictor accelerates root cause analysis and significantly reduces turnaround time.
In this lab, you will experiment with the PowerPro power optimization techniques to help reduce power at various RTL stages. Perform fine-grained sequential clock gating to get significantly power-optimized and energy-efficient RTL. Using the Tool Command Language (TCL) command shell and graphical user interface (GUI), you will load a design-and-go through the guided power optimization flow and view the guidance reports.
Complex RTL is difficult to edit and maintain and poses testability challenges. Discover how the new RTL Metrics Browser can help you identify such problematic or complex RTL early in the design process. Learn how test point efficiency can be increased and how you can highlight and restructure RTL regions to improve testability. Optimize your RTL design workflow with Tessent Visualizer.
Learn to use Tessent Visualizer as you create, visualize, and debug the IJTAG network for your design. Debug specification issues. Extract Instrument Connectivity Language (ICL). Explore the Internal JTAG network with built-in introspection features, such as schematic browsing, tracing and expanding a Segment Insertion Bit (SIB) tree.
Explore how Tessent Visualizer can enhance your test coverage analysis process. Learn to navigate your design, analyze data, identify design rule check violations and pinpoint the root cause of test coverage issues.
Experience our new addition to Catapult: Catapult AI/NN. In this session, we will dive into the Python scripts that take your model from Python to RTL. We will explore precision by looking at the impact of post-training quantization vs quantization-aware training on accuracy, area and training time.