The invention relates to a load reduction parallel computing method which includes the following steps: reading branch node breaking data, equally grouping the branch node breaking data into multiplepartitions of a data parallel computing platform, and acquiring a load reduction algorithm package programmed by Matlab and Java; and calling a load reduction algorithm in each partition to compute branch node breaking data in the partition and acquire branch node load reduction. By calling a load reduction algorithm package programmed by Matlab and Java to compute branch node breaking data in parallel and acquire branch node load reduction, the difficulty and complexity of load reduction algorithm parallel development are greatly reduced. When a load reduction algorithm is newly added, the new algorithm can be parallelized as long as Matlab and Java mixed programming is carried out on the new algorithm to get a load reduction algorithm package. The method is of high universality.