Intel® Docea™ Power Analytics

Model and simulate systems' behavior.

Collaborative System Level Power Modeling

Intel® Docea™ Power Analytics is a web-based, collaborative power modeling and simulation framework that improves power rollup productivity and early power architecture exploration.

The amount of data used in power rollup for platforms and system-on-chips is huge and ranges from IP characterization points to leakage dependency laws, power intent structure, and use case abstractions. System architects and design teams can utilize Intel® Docea™ Power Analytics to collect and structure all the data needed for power rollup in a database with dedicated semantics. The simulation framework enables efficient tracking, debug, and insights capture through live reports that can be shared online with project stakeholders.

Intel® Docea™ Power Analytics has built-in access control, data sharing control, roles definitions, and data versioning control mechanisms to efficiently manage and keep pace with the ever evolving set of data during the design project, reducing risks of erroneous power projections while speeding up power rollups production and decision making.

Benefits

Easily explore the design space for your power architecture and perform “what if” analyses with model reuse and a thorough power modeling structure while minimizing risks of bugs. Create derivatives and keep them in sync when models evolve.

Use a web-based, collaborative modeling tool to store relevant data for power rollup in a structured and dedicated database with specialized semantics. Automate data import and tracking with the application programmable interface to secure power projections.

Models can be accessed online by all team members with the right credentials and provide project stakeholders with real time access to power KPI reports.

Capabilities

Explore the capabilities of Intel® Docea™ Power Analytics.

System Level Power Modeling

System Level Power Modeling

As system-on-chips and platform (board) power modeling becomes increasingly important and complex, managing the amount of data collected while building a model requires a thorough modeling methodology and an efficient way to structure the data.

With Intel® Docea™ Power Analytics, your data is stored in a structured database with dedicated semantics, versioning control, access control, and role definitions for the team collaborating on the power models. You can use Intel Docea Power Analytics’s programmable interface to automatically import data into the tool.

Use Case Based Average Power Rollup

Use Case Based Average Power Rollup

The model-based approach of Intel® Docea™ Power Analytics enables you to describe system-level use cases with a hierarchically-calculated average power. The Application Programmable Interface (API) allows sweep analysis and stores power calculations in the tool drive.

Power Budget Tracking and Real Time KPI Analysis

Power Budget Tracking and Real Time KPI Analysis

The results database stores power simulations, allowing you to easily track the evolution of power budgets during the design life cycle and to share KPIs with project stakeholders in real time.

Intel® Docea™ Power Analytics features role definitions allowing each contributor or user to access only the part that they need.

Intel® Docea™ Power Analytics is a web-based collaborative power modeling and simulation framework. The tool features a server that can be hosted in your company intranet, where all data related to power modeling can be stored with pre-defined semantics. The models and the simulation reports can be accessed through web forms from any web browser. The tool features data versioning and tracking, login to access and role definitions, and reporting capabilities for key power consumption metrics.

Intel® Docea™ Power Analytics features an extensive API to automate database imports and exports and to link the tool to the flow for an optimum productivity gain. Our support team can help you set up the flow.