This work presents a scalable deep neural network (DNN) inference accelerator consisting of 36 small chips connected in a mesh network on a multi-chip-module (MCM). The accelerator enables flexible scaling for efficient inference on a wide range of …
A high-productivity digital VLSI flow for designing complex SoCs is presented. The flow includes high-level synthesis tools, an object-oriented library of synthesizable SystemC and C++ components, and a modular VLSI physical design approach based on …
A high-productivity digital VLSI flow for designing complex SoCs is presented. The flow includes high-level synthesis tools, an object-oriented library of synthesizable SystemC/C++ components, and a modular VLSI physical design approach based on …