Heterogeneous many-core optimization method for PipeBCGs solver in PETSc on SW26010-pro

Résumé fourni par la source

The PETSc (Portable, Extensible Toolkit for Scientific Computation) library is one of the fundamental general-purpose numerical libraries in high-performance computing environments. It is widely employed for solving problems related to partial differential equations, sparse linear algebra, and other related issues. PETSc plays a crucial role in assisting developers in rapidly creating parallel programs, thereby enhancing the computational efficiency of high-performance computing. This paper initially ports the PETSc program onto the SW26010-pro processor. Following that, we choose a representative solver from the KSP module of PETSc. Addressing four hotspot functions invoked by this solver, we implement many-core optimization for its execution under the Sunway heterogeneous architecture. The experimental results show that the maximum speedup on a single node can reach 62.3 after many-core optimizations of core hotspot functions. This indicates that the many-core optimization of hotspot functions for PETSc linear solvers demonstrates excellent parallel efficiency on the Sunway supercomputer.

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