Domain Analysis Based Approach to Obtain Identical Results on Varying Number of Processors for Structural Linear Static Software

Obtain identical results on varying number of processors is a prerequisite for the reliability of parallel CAE software.However,during the development of parallel CAE software,various types of faults that can cause non-identical results are often introduced.These faults couple with each other to produce the final non-identical results,and are concealed within various levels of the CAE software that incorporates numerous lines of code.This poses the challenge to obtain identical simulation results on varying number of processors for parallel CAE software.When applied to parallel CAE software,traditional approaches such as expert knowledge and fault-location are often characterized by coarse granularity,poor accuracy,high cost or lack of systematism.To address this issue,we propose an approach that combines domain analysis with expert knowledge and dataflow state comparison to obtain identical results on varying number of processors for structural linear static software.This approach can be used to identify and fix faults that cause non-identical results in structural linear static software with high accuracy and low cost.Based on the above approach,we develop a corresponding tool and apply it in conjunction with the approach to identify and fix eight faults in SSTA,a structural linear static software.This endeavor helps SSTA to obtain strictly identical results on varying number of processors in more than ninety real simulation models,and significantly reduces the time required to identify a fault from more than two days to several hours.