Cluster环境下p—HPF编译器支持的并行计算范式

p-HPF是研制的一个符合HPF（high performance Fortran)规范的并行编译系统，以HPF为核心实现多范式并行计算是开发大型并行应用系统的基础。首先论述了Cluster环境下的并行运行范式，包括farm parallel范式、流水线并行、流循环并行、基于数据并行和组合数据并行等，抽象分析了它们的性能，接着给出了利用p-HPF的外部过程机制、任务并行机制以以FORALL，INDEPENDENT DO等典型并行语句实现几种典型并行范式的方法，给出了实例程序，对实例进行了实际运行并对运行结果进行了分析。

MULTI-PARADIGM PARALLEL COMPUTING OF p-HPF COMPILER ON CLUSTER ENVIRONMENT

p HPF is a parallel compiler, which accords with HPF (high performance Fortran) specification. Implementing multi paradigm parallelism based on HPF is the foundation for developing large scale parallel application systems. First detailed in this paper are the parallel programming and executing paradigms in cluster environment, and their performance is analyzed abstractly, including farm parallelism, pipeline parallelism, stream iterative parallelism, basic data parallelism and composite data parallelism. Then their implementations are discussed using task parallel, extrinsic procedure calling, and typical parallel clauses such as FORALL, INDEPENDENT DO in p HPF. Some program examples are also provided and their execution results are analyzed.