The computing environment has changed rapidly to enable large-scale finite element models to be analyzed at the PC or workstation level, such as multi-core CPU, optimal math kernel library implementing BLAS and LAPACK, and popularization of direct sparse solvers. In this paper, the design considerations on a parallel finite element code for shared memory based multi-core CPU system are proposed; (1) the use of optimized numerical libraries, (2) the use of latest direct sparse solvers, (3) parallelism using OpenMP for computing element stiffness matrices, and (4) assembly techniques using triplets, which is a type of sparse matrix storage. In addition, the parallelization effect is examined on the time-consuming works through a large scale finite element model.

• 조정래(한국건설기술연구원 구조융합연구소) | Jeong-Rae Cho (Structural Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, Goyang, 10223, Korea)
• 조근희(한국건설기술연구원 구조융합연구소) | Keunhee Cho (Structural Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, Goyang, 10223, Korea) Corresponding author