Parallel Fortran AnalyZER

对于分布式内存体系结构的自动并行化程序的研究是不够的。当前的并行化模型忽略了与数据结构分布和相应的通信开销相关的问题。本研究的目的是为松耦合、消息传递并行处理系统建立自动分发FORTRAN程序的机制。并行Fortran分析器（PFAZER）将使用三种新颖的方法来减少与处理器间通信相关的开销。首先，PFAZER将利用一个增强的成本模型，该模型将更准确地估计分布式处理环境中处理器间通信的开销。其次，PFAZER将利用软件缓存管理系统，该系统将提供对模糊引用变量的访问。最后，PFAZER将采用一种新的数据依赖决策算法，该算法将减少源程序中数据依赖的数量，从而进一步减少处理器间通信。

Research into the area of automatically parallelizing programs for distributed memory architectures is inadequate. Current models of parallelization ignore the problems associated with the distribution of data structures and the corresponding communication overhead. The objective of this research is to establish mechanisms for the automatic distribution of FORTRAN programs for a loosely-coupled, message passing parallel processing system. The Parallel Fortran AnalyZER (PFAZER) will use three novel approaches to reduce the overhead associated with interprocessor communication. First, PFAZER will utilize an enhanced cost model which will more accurately estimate the overhead of interprocessor commuication in a distributed processing environment. Second, PFAZER will utilize a software cache management system which will provide access to ambiguously referenced variables. Last, PFAZER will incorporate a new data dependence decision algorithm which will reduce the number of data dependencies in the source program which will further reduce interprocessor communication.