NYI: Languages, Compilers, and Runtime Systems for Parallel Architectures

本研究的目标是减轻高性能并行计算机编程的负担。该项目研究这方面的几个关键问题：（a）独立于机器的并行编程的语言扩展或新语言的设计;（B）科学程序的自动代码和数据映射（静态和动态）算法;（c）代码生成和局部性、处理器间通信等的优化技术; (d)非结构化计算的分析和优化，例如在流体动力学代码中出现的那些;（e）利用并行性和数据局部性的不规则稀疏矩阵代码的运行时编译;（f）过程间分析和优化;（g）任务和数据并行性的集成;以及（h）高性能输入和输出。

The goal of this research is to ease the burden of programming high-performance parallel computers. The project investigates several key issues in this regard: (a) the design of language extensions or new languages for machine-independent parallel programming; (b) algorithms for automatic code and data mapping (both static and dynamic) for scientific programs; (c) code generation, and optimization techniques for locality, inter-processor communication etc.; (d) analysis and optimization of unstructured computations such as those arising in fluid dynamics codes; (e) runtime compilation of irregular sparse matrix codes that exploits both parallelism and data locality; (f) interprocedural analysis and optimization; (g) integration of task and data parallelism; and (h) high-performance input and output.