Abstract: To increase the computing efficiency of Calculix in large scale numerical calculation,this paper researched Calculix and proposed a three-level parallel optimization scheme including preprocessing-level,task level and thread le-vel.A multiple row double threshold incomplete LU matrix decomposition strategy based on column pivoting and dyna-mic abandon was presented.The corresponding algorithm was given and proved to be efficient,available and convergent.Furthermore,to utilize the powerful computing resources of TH-2 supercomputer,a task level parallel scheduling algorithm using between computing nodes and a thread level parallel algorithm using between multiple computing cores were also developed and deployed in the experimental platform which focused on the ship fatigue analysis.Both the theory analysis and the actual engineering cases testing were provided to show that the three level parallel optimization scheme based on Calculix can increase the solving speed of liner equations and the analysis efficiency in engineering design areas,and the average speed-up ratio can reach about 2~4 when enough resources can be obtained.

Key words: Parallel computing,Super-computing,Calculix,Parallel optimization,Fatigue strength analysis