Since the current third party power system analysis software is low efficient and slow in printing massive waveform data， a cross-platform massive wave COMTRADE data parallel painting algorithm are proposed， based on the parallel multi-core computing technology. on the basis of the internal relationship of tradition serial painting system， a new relationship based on the parallel printing is presented in the algorithm. the original single layer is divided into waveform layer and user control layer， the waveform layer is printed in parallel mode and the final printing is done by the way of image composition. By analyzing the printing technologies of Windows and Unix， QImage+Qpainter is found to be the most suitable cross-platform technology for massive waveform parallel painting. Each step of the parallel printing algorithm is elaborated with a cross-platform thread library named Pthreads. the workload sharing formulas are given which can make channel printing thread run load balancing. The pseudo-code of the channel painting thread and image composition algorithms are presented in detail. Test results show that the proposed parallel printing algorithm has a high acceleration ratio and even linear acceleration ratio with the increasing of printing workload and central process unit（CPU） core number.