Research
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
Abstract
DARKSIDE is a System-on-Chip featuring a heterogeneous cluster of eight RISC-V cores designed for extreme-edge (TinyML) DNN inference and training, integrating 2-bit to 32-bit mixed-precision integer capabilities. To boost performance, the cluster