Data-Parallel Compiler Technologies for Future-Generation Multicomputers

在NSF之前的支持下，Hatcher和Quinn已经证明，数据并行SIMD程序可以被编译成在共享内存和分布式内存MIMD计算机上有效执行的代码。在这个项目中，他们开发了新的复杂策略，使数据并行程序能够在下一代多计算机上有效地执行，包括Touchstone Sigma。这项工作的起点是由思维机器公司开发的新的C*语言。Hatcher和Quinn扩展了该语言，以提供一种与机器无关的方法来指定数据在物理处理器内存中的分布，并促进并行I/O。

With prior NSF support, Hatcher and Quinn have demonstrated that data-parallel SIMD programs can be complied into code that executes efficiently on both shared-memory and distributed-memory MIMD computers. In this project they develop new compliation strategies that will enable data-parallel programs to execute efficiently on future-generation multicomputers, including the Touchstone Sigma. The starting point of this work is the new C* language developed by Thinking Machines Corporation. Hatcher and Quinn extend the language to provide a machine-independent means for specifying the distribution of data among the physical processors' memories and to facilitate parallel I/O.