System-level power analysis platform is AI-based

System-level power analysis platform is AI-based

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By eeNews Europe

The AI-infused power exploration reduces the modelling effort by 80%, increases the accuracy, greater intelligence applied to how the real system will behave, and normalize the input mechanism for semiconductors, electronics systems and FPGA.

VisualSim Power Explorer is loaded with capabilities to measure power consumption, design power management algorithms and generate power profiles. Semiconductor architects get to optimize data movement to memory, task processing offset and minimize power spikes. Electronic product designers get to size the power generators, select batteries and modify software code to meet the power budget. Mechanical designers get input on the impact of thermal and shocks and the power dissipated, to help with enclosure and cooling design.

The AI-based power modelling library in VisualSim contains a power table to capture the state-wise power expressions, power management schedule, RegEx methods to capture the consumption by device and tasks, power generators for wind, water, motor and solar, and batteries for Li-On, Ni-Hd, Lead-Acid and Ni-Cd. The power consumption and power management features render better performance trade-offs for low-power exploration of hardware, software and network. It swiftly virtualizes power usage over time and assesses possible candidates for power reduction. The reports generated offer designers the space to make timely decisions, including altering of clock speed, task-to-state mapping, management algorithm, power gating, varying sequence of requests, state transition times, battery capacity and generator schedules. Reports explicitly display state timing diagram, efficiency, cumulative power, power spikes and lifecycle of the power infrastructure.

Mirabilis Design –

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