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SafeDSE: Joint Exploration of Safety Architecture Patterns, Mapping, and Scheduling for Dataflow Applications With Safety Arguments (Extended Version)
TL;DR
SafeDSE is a design space exploration framework that optimizes safety architecture patterns, mapping, and scheduling for dataflow applications. It effectively balances safety integrity levels and throughput requirements, demonstrating improved feasibility and cost-effectiveness in safety-critical systems.
✦ Why It Matters
Consider implementing SafeDSE to enhance the safety and efficiency of your dataflow applications today.
Key Takeaways
- Utilize SafeDSE for optimizing safety-critical application designs.
- Explore joint mapping and scheduling to reduce costs.
- Incorporate independent verification to strengthen safety arguments.
- Analyze benchmark instances to validate your safety architecture choices.
How It Works
SafeDSE operates by using a declarative constraint model that defines the safety architecture patterns, their placement, and scheduling. It evaluates various configurations to ensure that safety requirements are met while optimizing for throughput.
The framework includes a verifier that checks each solution for safety compliance and a generator that translates these checks into structured safety arguments.