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Webinar: Accurate Power Modeling Methodology to Complement Excel-based Power Estimates


Introduction
This Webinar introduces an easy-to-use, accurate and reliable modeling solution that takes existing Power Spreadsheets and realizes a Dynamic Power Model at the beginning stage of product development.  User can simulate divergent applications and varying workloads on the exploration model to size the battery; get charging requirements; determine heat dissipation; manage energy consumption during non-use/low-use periods; and determine battery life for each use case.  The methodology allows users to trade-off Worst Case Execution Time against lower power consumption.  This Power Webinar will benefit systems engineers, hardware architects, power system designers and software architects.

 During the Webinar, we will highlight industry examples in aerospace, automotive, and computing. The presentation will cover the exploration of new power management techniques using power modes, dynamic voltage frequency scaling (DVFS), partial node shut-down, delayed instrument scheduling and staggering power assignment to resources. 


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This Webinar introduces an easy-to-use, accurate and reliable modeling solution that takes existing Power Spreadsheets and realizes a Dynamic Power Model at the beginning stage of product development.  User can simulate divergent applications and varying workloads on the exploration model to size the battery; get charging requirements; determine heat dissipation; manage energy consumption during non-use/low-use periods; and determine battery life for each use case.  The methodology allows users to trade-off Worst Case Execution Time against lower power consumption.  This Power Webinar will benefit systems engineers, hardware architects, power system designers and software architects.

 During the Webinar, we will highlight industry examples in aerospace, automotive, and computing. The presentation will cover the exploration of new power management techniques using power modes, dynamic voltage frequency scaling (DVFS), partial node shut-down, delayed instrument scheduling and staggering power assignment to resources. 

The user will learn to:

  1. Use existing Spreadsheets as initial data value for the power states, power levels and activity durations.  Models are refined with dynamic use cases and different consumption profiles.
  2. Assemble a system model containing batteries (Li-Ion and Lead-Acid); direct sources of energy ( solar, nuclear, fuel cells and gasoline); chargers; resources (motors, ECU, processors and instruments); and software tasks.
  3. Select the right traffic profile, interrupt routines and software offsets to attain lowest power consumption
  4. Interpret reports on instantaneous and average power consumption, and power dissipation
  5. Trade-off timing, software task assignment and power control decisions to achieve the target battery life expectation
  6. Modify and explore the power management operation using graphical Finite State Machines

Why should you attend the Webinar?

The need for energy conservation is being felt in every walk of life.  Automotive systems are moving to all electric and hybrid power generation techniques.  Aerospace systems are looking to reduce weight by using smaller generators and batteries.  Semiconductors, such as SoC and Processors, have to worry about the growing data center cooling expense, requirement for heat sinks, and larger battery capacity. Today’s power profiles are extremely dynamic.  Analytical methods provides visibility into only the average power consumed.   

 Power simulation at the early stage of the design cycle extends the spreadsheet learning with variable workloads and concurrent operations and complex power control finite state machines.

Duration: 45 minutes