Focus: Manage mechatronic complexity by accelerating Robust Design via simulation

• Automotive (mid-class car) -- 50+ microprocessors, 100+ sensors, 30+ electrical subsystems
• Aerospace (A380) -- 530km of wires, 100,000 cable sections, 40,300 connectors

Results for OEMs and supply chain:

• Optimize system for performance, reliability, and cost
• Reduce effects of variation

• Quickly create a virtual system design
• Reduce the need for physical prototypes
• Increase model portability with language standards VHDL-AMS & MAST
• Ensure accuracy by accessing a library of 30,000+ models
• Create models quickly with model characterization tools
• Protect intellectual property with model encryption
• Integrate with popular 3D CAD tools (Catia V5, Siemens(UGS), Pro/E)
• Verify hardware/software interaction with co-simulation
• Integrate: MATLAB/Simulink, Zuken, Mentor Graphics, Cadence, Synopsys VCS
• Use grid computing to minimize time for compute intensive statistical analyses

By using Saber to implement a Robust Design methodology, design project teams achieve target reliability, while optimizing the design for performance and cost. The reliability and cost problems associated with over/under-design are avoided and the project schedule is shortened because hardware prototype iterations are reduced or eliminated.