Preliminary Application of Software Package GPPS to Spare Linear Systems from Meso Scale Simulation of Concrete Specimen

The general parallel preconditioning subspace iteration software GPPS is developed based on the integration of various preconditioning methods, parallelization techniques, and subspace iterations, to solve general sparse linear systems. The software has several characteristics, including high computational performance, good readability, simple interface, and excellent scalability. In this paper, the functions of the software are outlined, and then it is used to solve the sparse linear systems from meso-scale simulation of concrete specimens. The numerical experiments show that GPPS is clearly superior to the software package AZTEC, which is used in the simulation up to now, and in addition, ICT and the parallelization technique based on factors combination outperform other preconditioning techniques integrated in the software.