用于大规模并行分布式内存MIMD计算机的编译器

G. Sabot
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引用次数: 21

摘要

作者描述了CM编译器引擎所使用的技术,这些技术将Fortan 90和C等语言的细粒度数组并行性映射到连接机(CM)体系结构上。CM-5的节点级编程、CM-5的全局编程和SIMD(单指令多数据)CM-2的全局编程都使用相同的编译器。新的编译阶段用于生成两类输出代码:用于执行SPARC汇编程序的标量控制处理器的代码,以及针对CM-5并行处理元素模型的代码。该模型体现在一种新的类似RISC(精简指令集计算机)的向量指令集PEAC中。控制程序在运行时在目标机的处理器节点之间分配并行数据。每个节点本身都是超管道和超标量。一种创新的调度器可以重叠多个PEAC操作的执行,而传统的矢量处理技术可以保持管道的填充
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A compiler for a massively parallel distributed memory MIMD computer
The author describes the techniques that are used by the CM Compiler Engine to map the fine-grained array parallelism of languages such as Fortan 90 and C onto the Connection Machine (CM) architectures. The same compiler is used for node-level programming of the CM-5, for global programming of the CM-5, and for global programming of the SIMD (single-instruction multiple-data) CM-2. A new compiler phase is used to generate two classes of output code: code for a scalar control processor, which executes SPARC assembler, and code aimed at a model of the CM-5's parallel-processing elements. The model is embodied in a new RISC (reduced instruction set computer)-like vector instruction set called PEAC. The control program distributes parallel data at runtime among the processor nodes of the target machine. Each of these nodes is itself superpipelined and superscalar. An innovative scheduler overlaps the execution of multiple PEAC operations, while conventional vector processing techniques keep the pipelines filled.<>
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