  Stochastic computing (SC) presents high error tolerance and low hardware
cost, and has great potential in applications such as neural networks and image
processing. However, the bitstream generator, which converts a binary number to
bitstreams, occupies a large area and energy consumption, thus weakening the
superiority of SC. In this paper, we propose a novel technique for generating
bitstreams in parallel, which needs only one clock for conversion and
significantly reduces the hardware cost. Synthesis results demonstrate that the
proposed parallel bitstream generator improves 2.5x area and 712x energy
consumption.
