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Tag Archives: modeling

Best Practices for Mixed Signal, RF and Microcontroller IoT

The Low-Power Engineering (LPE) portal asked the experts for help in detailing the best practices to help digital designers incorporate analog, mixed signal and RF functionality into their System-on-Chips (SoC). What follows is a compendium of inputs from Diya Soubra, CPU Product Manager, Processor Division and Joseph Yiu, Embedded Technology Specialist at ARM; Qi Wang,Technical Marketing Group Director and Mladen Nizic, Engineering Director for Mixed Signal Solutions at Cadence Design Systems.

Blyler: What are the best practices for EDA chip-level IoT mixed signal and microcontroller designs?

Joseph Yiu:
- Use of power aware verification early and throughout in the project, e.g., power aware simulation with Si2 Common Power Format (CPF) (and/or IEEE-Accellera Unified Power Format (UPF)). Power aware verification is not just for low power simulations but also for various system level simulations.
- Use the right model for mixed signal simulation (trade off between accuracy and simulation speed)
- Power quality check. Verification of power constraints/budgets in the early stage of the design can help you to find corner cases in power management schemes.

Read the complete post  on the Low Power Engineering site.

The Current State Of Model-Driven Engineering

Panelists from industry, national laboratories, and the Portland State System Engineering graduate program recently gathered for an open forum on model-driven engineering.

The goal of the forum—which was hosted in collaboration with PSU, the International Council on Systems Engineering (INCOSE) and IEEE—was to connect systems engineering and IT modeling to domain specialties in electronic/electrical, mechanical and software engineering. Panelists included speakers from Mentor Graphics, ANSYS, CH2M Hill, Pacific Northwest National labs, SAIC, Veterans Affair Resource Center and PSU.

To clarify what is meant by systems engineering (SE), Herman Migliore, director of PSU’s SE program, cited Norm Augustine’s often quoted definition: Systems engineering is the practice of creating means of performing useful functions through combination of two of more interacting components. This broad definition encompasses all domain specific SE disciplines, including hardware and software.