Energy-Efficient Design in Linux-Capable Compute Subsystems

Academic researchers requiring platform operating systems, such as Linux, rely on the industry-standard Cortex-A range of processors, which balance energy-efficiency and performance. These processors are also the default choice for teaching the principles of more advanced SoC design. Universities have access to a selection of in-order cores, including those that support dedicated machine learning (ML) instructions for acceleration, ideal for SoC development such as for smart IoT devices. Partner silicon is ubiquitous and cost-effective, for those focused on software application development, including Edge ML.

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Software Development

Academics researchers interested in Edge ML and smart IoT can utilize functionally accurate Arm Fixed Virtual Platforms or ubiquitous and affordable development boards for application development. For those wanting to use FPGAs, unencrypted RTL for Arm Cortex-A processors, up to Cortex-A55, is available for non-commercial experimentation at no cost.

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Hardware Design

Arm Corstone-1000 is free to universities and offers a flexible reference package that supports platform operating systems, including Linux, to help academics design SoCs. It includes a fully verified subsystem and system IP that can combine with a range of Cortex-A processors for high-performance IoT endpoint and other research.

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