A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7 mu W Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

Abstract

The Internet-of-Things requires end-nodes with ultra-low-power always-on capability for long battery lifetime, as well as high performance, energy efficiency, and extreme flexibility to deal with complex and fast-evolving near-sensor analytics algorithms (NSAAs). We present Vega, an always-on IoT end-node SoC capable of scaling from a 1.7 μW fully retentive COGNITIVE sleep mode up to 32.2GOPS (@49.4mW) peak performance on NSAAs, including mobile DNN inference, exploiting 1.6MB of state- retentive SRAM, and 4MB of non-volatile MRAM. To meet the performance and flexibility requirements of NSAAs, the SoC features 10 RISC-V cores: one core for SoC and IO management and a 9-core cluster supporting multi-precision SIMD integer and floating- point computation. Two programmable machine-learning (ML) accelerators boost energy efficiency in sleep and active state, respectively.