Parallel Fortran AnalyZER

自动并行程序领域的研究 分布式内存架构是不够的。 当前型号的 并行化忽略了与分布相关的问题， 数据结构和相应的通信开销。 的 这项研究的目的是建立自动机制， 一种用于松散耦合的消息传递的FORTRAN程序的分发 并行处理系统 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 首先，PFAZER将采用增强的成本模型， 准确估计处理器间通信的开销， 分布式处理环境。 其次，PFAZER将利用 软件高速缓存管理系统，将提供访问 模糊引用的变量。 最后，PFAZER将采用新的 数据相关性决策算法，这将减少数据的数量 源程序中的依赖关系，这将进一步减少 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.