Chinese Journal of Computational Physics ›› 2024, Vol. 41 ›› Issue (1): 110-121.DOI: 10.19596/j.cnki.1001-246x.8771

• Performance Optimization Techniques and Parallel Numerical Algorithms for Supercomputing • Previous Articles     Next Articles

JPSOL: A Parallel Numerical Algebraic Solver Driven by Application Features

Shaoliang HU1,2(), Xiaowen XU1,2,*(), Hengbin AN1,2, Ran XU1,2, Ronghong FAN1,2   

  1. 1. Software Center for High Performance Numerical Simulation, China Academy of Engineering Physics, Beijing 100088, China
    2. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • Received:2023-05-31 Online:2024-01-25 Published:2024-02-05
  • Contact: Xiaowen XU

Abstract:

JPSOL(J Parallel Solver Library for Numerical Algebra Problems) is introduced, including the software architecture, matrix vector data structure, three kinds of algorithm libraries (linear, nonlinear and eigenvalue) and domain specific solvers. Then, the high parallel scalability of JPSOL are demonstrated by the testing results of basic iterative methods. Finally, the effect and robustness of JPSOL are demonstrated by several typical practical applications.

Key words: numerical simulation, parallel computing, solver, Krylov subspace method, preconditioned algorithm

CLC Number: