bus encoding for simultaneous delay and energy optimization
In this paper we propose two bus encoding algorithms that optimize both bus delay and energy dissipation based on the probabilistic characteristics of data on data buses. The first algorithm minimizes the crosstalk transitions by inserting temporal redundancy and achieves optimal energy. The second algorithm reduces crosstalk more aggressively to achieve optimal bus delay by mapping the original data to low-energy opposite-transition-forbidden codes. Experimental results show that they outperform the existing heuristic bus encoding algorithms by 15.7\% to 58.8\% in average energy dissipation and 11.4\% to 58.4\% in average delay.
energy optimization temporal/spatial redundancy coupling capacitance opposite transition forbidden delay optimization data probability distribution peaking adaptive bus encoding