摘要：Python is a modern but mature, easy to learn, powerful programming language.
It has efficient high-level data structures and a simple but effective
approach to object-oriented programming. Python codes are quickly developed,
easily debugged and maintained, and can achieve a high degree of integration
with other libraries written in compiled languages. Those characteristics
make Python an ideal candidate for writing the higher-level parts of
large-scale scientific applications and driving simulations in parallel
architectures like clusters of PC’s or SMP’s. In this work, we present
some parallel finite element simulations driven in a cluster of PC’s using
the Python programming language. Our previously developed MPI, PETSc
and ParMETIS packages are used together to deploy a model parallel FEM
framework, integrating an important subset of OOFELIE toolkit, a sequential
C++ code for FEM simulation and development. Our main concern is in showing
the advantages of using high-level scripting languages for the high-level
part of that kind of codes, where parallelization introduces some
extra complexities.
