A HIERARCHICAL PARALLEL COMPUTING APPROACH FOR STRUCTURAL STATIC FINITE ELEMENT ANALYSIS

According to the architecture characteristics of distributed memory parallel computers, a hierarchical parallel computing approach for structural static finite element analysis is proposed. Based on the two-level partitioning and twice condensation strategies, the proposed method not only improves memory access rate through the distributed storage of a large amount of data, but also significantly improves communication rate with the three-layer parallelization of the computational procedure. Moreover, the interface equations' size is further reduced and its solution time is considerably reduced. Thus, it can improve the efficiency rates of parallel computing of large-scale problems by fully exploiting the architecture characteristics of distributed memory parallel computers. Finally, typical numerical experiments were used to validate the correctness and efficiency of the proposed method.