Stripes: Bit-Serial Deep Neural Network Computing
Authors: Patrick Judd, Jorge Albericio, Tayler Hetherington, Tor M. Aamodt, Andreas Moshovos Venue: MICRO 2016 Bit-Stripes presents are architecture which is able to scale almost linearly with the bit-precision width for neural networks. They do a design space exploration to find the minimum number of bits required for different networks to maintain within 1% accuracy of the original network. The paper takes a DaDianNao-like approach in terms of hardware, but thanks to the per-layer precision optimizations consumes less energy, and operates faster. Full Text