Beyond Version Control: A Scalable Framework for Clearer Simulation Insights

TL;DR: Speed up your development with a standardized "Sim-Object" workflow.

• The Challenge: Version control alone isn't enough to manage complex simulation metadata.

• The Solution: A unified three-stage framework (Preprocessing, Simulation, Postprocessing) centered around a unique "Sim-Object".

• The Benefit: Full traceability, reproducible results, and user-friendly collaboration even without specialized licenses.

1. The Challenge: Why Version Control is Not Enough

In dynamic development environments, keeping pace with constant simulation and design changes is difficult. While version control manages model development, it often falls short during localized testing.

When developers explore specific scenarios, crucial context is frequently lost, leading to confusion when interpreting results. Common missing links include:

• Model Version & Variant: Which specific iteration was active?

• Parameter Sets: What specific settings were used?

• Communication Gaps: Especially in 1-dimensional simulations, raw data plots can be difficult for non-experts to understand compared to intuitive 3D visualizations.

To ensure productive discussions, thorough documentation that provides context and traceability is essential.

2. The Solution: The Three-Stage "Sim-Object" Journey

A unified simulation framework addresses these gaps by capturing the entire process into a unique "Sim-Object". This object travels through a streamlined three-stage journey:

Stage 1: Preprocessing – Gathering the Essentials

Before the run, the Sim-Object gathers all necessary "ingredients": model inputs (signal data, test scenarios), configurable parameters, specific modifications, and version control metadata (execution date, model version). This ensures every run is documented from the start.

Stage 2: Simulation – The Model in Action

The configured model processes the gathered input data and generates raw results based on the defined parameters.

Stage 3: Postprocessing – Analysis and Insights

Raw signals are collected and analyzed using customized validation criteria. The framework transforms raw outputs into meaningful insights, generates plots, and saves results into standardized files (e.g., .MAT).

3. Proof of Concept: Benefits of an Automated Workflow

This revolutionary workflow transforms simulations into well-organized assets that empower both developers and practitioners.

• Enhanced Traceability: Tracking the origin and context of any result becomes effortless.

• Effortless Reproducibility: You can easily reproduce simulations to uncover deeper insights.

• Wider Collaboration: Sharing results is user-friendly and accessible to colleagues even without specialized software licenses.

• Scalability & Speed: Automation accelerates the development process. Scaling up is handled easily by generating "Campaigns" for multiple simulation runs.

  
  

4. Conclusion

By capturing metadata and automating analysis, this framework allows teams to make informed decisions based on comprehensive, well-documented data. It paves the way for faster innovation and more impactful results.

Read the full technical article:

Simulation Framework.pdf

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