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Shortly about us

Docea Power provides software solutions to model and simulate the power consumption and thermal behavior of electronic systems from an architectural perspective. The solutions are used to secure specifications, optimize the power behavior and accelerate the validation and verification of design projects. Docea Power solutions apply to both electronic systems (board, OEM devices) and semiconductor devices (IC, SoC, System in Package).

The Docea software is used by leading IC and system designers on some of the most complex electronics systems. The tools enable a larger exploration of the design space which translates in more power efficient architectures and allows both productivity gains in the management of complex power architecture data and time-to-market saving in power/thermal verification/validation.



Blog: How are IoT and ESL related?

by Daniel Payne

One of the most common requirements that I hear about IoT electronics is that the power needs to be well understood and controlled during the design exploration phase...



Interview Docea

An interview at the latest Design Automation Conference.


Modeling and simulating the power management policies requires to play dynamic use cases to see the impact/benefit of each power reduction technique/power management scheme.
Aceplorer offers a way to model and simulate power management schemes before silicon.

If thermal issues (as a corollary of power consumption) are preventing your designs from sustained performance, then you are probably implementing thermal throttling mechanisms.
We can help you model and simulate the thermal throttling mechanism before silicon.

Power estimation for an SoC or a complete device requires to keep up-to-date power data on all its sub-blocks and on all use cases. It requires to manage a lot of data. Ask us how Aceplorer PI, a collaborative web-based solution, can help you in improving your power data management flow.

With the ThermalProfiler, thermal experts now have a tool to simulate more realistic worst case scenarios at a fraction of the time required by classical CFD tools. And they have a way to share a model with the system architecture team enabling more what-if analysis for more competitive products.