In order to improve the calculation efficiency of mass common format for transient data exchange（COMTRADE）data caused by the basic algorithms and serial programming，three fast computation algorithms have preferentially been chosen by tests and improvement:a recursive full-wave discrete Fourier algorithm，a windowed recursive full-wave discrete Fourier algorithm and a recursive algorithm for filtering out the direct current（DC）component.A parallelization framework is proposed for mass COMTRADE data calculation based on the three aforementioned algorithms.To avoid efficiency losses due to the false memory sharing effect，the framework provides a separate channel cache queue for each calculation thread and a data access mechanism based on the virtual block index map，by means of which recursive algorithms can directly access the window data mapping block.Test indicates that high acceleration ratio is achieved and the linear acceleration ratio can be attained with an increase in the core number and COMTRADE data.