Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks

The design space of possible schedules for mapping a Convolutional Neural Network layer onto a spatial accelerator array, referred as the dataflow, is enormous. The co-design of key architectural parameters (such as number of processing elements, sizes of register files and scratchpad memories) along with the dataflow to optimize the implementation of one or more CNN stages makes the design space ...