
Siracusa is a 16 nm heterogeneous SoC that tightly integrates a RISC-V core cluster with a novel At-MRAM neural engine to enable energy-efficient deep learning inference for extended reality applications.


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siracusa-a-16-nm-heterogeneous-risc-v-soc-with-at-mram-neural-engine-for-energy-efficient-extended-reality-computing


Siracusa: A 16 nm Heterogeneous RISC-V SoC with At-MRAM Neural Engine for Energy-Efficient Extended Reality Computing
