Optimally Scheduling CNN Convolutions for Efficient Memory Access

Arthur Stoutchinin, Francesco Conti, Luca Benini

Embedded inference engines for convolutional networks must be parsimonious in memory bandwidth and buffer sizing to meet power and cost constraints. We present an analytical memory…