Stochastic Computing and Hybrid Stochastic Computing
The calculation principle of non-positional stochastic number(SN)is a promising technique for realizing high-performance computing owing to its extremely low hardware cost.This paper introduces detailly the origin,develop-ment process and the domestic and foreign development present situation.However,a disadvantage of stochastic bitstream is that the computing latency,and information-carrying efficiency and so on.We presented a hybrid stochastic computing(HSC)based on a hybrid bitstream to solve these problems,which achieves a lower hardware cost,better accuracy,and fast-er speed.The HSC neural networks is fabricated by 40 nm low-power CMOS process,with a core area of 0.73 mm×0.73 mm,power of 102.3 mW and clock of 400 MHz,which has 4 544 multiply and accumulation(MAC).The proposed Hybrid stochastic computing is tested by FPGA and ASIC.Compared with other stochastic computing method,the method proposed gains 50×,2.5×,and 3.26×energy efficiency than other methods of traditional stochastic computing.
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