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This Position Paper describes a family of Power Management IP solutions integrated by Dolphin Integration’s customers into their SoC to drastically improve Energy Efficiency (EE). SoC performance metric is changing, moving from pure performance metric (GHz or MIPS) to performance efficiency and minimum power consumption. This new metric, already crucial for IoT or mobile devices, is becoming key in various applications, like automotive, embedded or space.
Neural networks’ data processing raises several challenges in terms of performance requirements. Therefore, the cloud was the first location to host this large processing demand, but this is currently evolving .
One of the original benefits of processing in the cloud in was simply to expand beyond the limited capacity of on-site processing. With advancements in AI, more and more decisions can be made at the edge. It is now clear that edge and cloud processing are complementary technologies; they are both essential to achieve optimal system performance. Designers of connected systems must ask, what is the most efficient system partitioning between the cloud and edge?
Adele Hars
This paper addresses minimizing low-power design complexity with power, performance and density optimized IP. It covers the power problem, and the complexity of designing with multiple power domains in SoC designs that contain embedded memory. The paper includes the trade-offs and benefits of various power management features as well as the implementation of the design for superior testability by providing optimal test resource partitioning.
