A novel approach to eliminate control hazards by using two priori processing units in pipeline computing

One of the most important problems in pipeline computing is control hazard. An efficient solution based on two prior processing units is presented to eliminate the control hazards in a pipelined system. Unlike previous methods such as statistical measurements, fuzzy method and neural network which provide uncertain predication and then some times hazard occurs. But proposed method always identifies the correct branch path exactly. By using two prior processing units in conditional branch, which is continuation of program execution in two paths, occurrence / nonoccurrence to find the correct path further than the main unit.