CRI: Planning A Research Compiler Infrastructure Based on Open64

提案编号：CNS 07-08797 07-08856PI(s): Chapman, Barbara Gao, Guang r .机构：休斯顿大学特拉华大学休斯顿，德克萨斯州77204-2015纽瓦克，DE 19716-1551标题：规划；该协作项目为构建、部署和演示健壮且可扩展的并行/优化编译器和运行时软件基础设施（主要用于高端计算）奠定了基础，为各种计算机科学研究准备了未来的社区资源。目前的工作通常依赖于忽略代码生成效果的源到源转换，或者只处理一种语言。然而，由于新的体系结构意味着对语言、编译器和工具的挑战，因为即将到来的体系结构以芯片多线程、共享内存并行性和集群的形式包含了前所未有的并行性，因此社区可以从编译器与编程环境中的各种工具和其他实用程序之间的更高级别集成中受益。该项目扩展了基于Open64编译器套件的工作，这是一个强大的、工业质量的、最先进的优化和并行编译器，允许在所有级别进行端到端实验和编译器研究，包括先进的计算机体系结构、并行编程语言、编译器/运行时软件、系统软件、应用程序开发、性能建模/调优以及网格计算。这项工作包括评估其他团队的需求，以应对日益复杂的编程范例和体系结构所带来的挑战。这个计划项目将开发一个策略，用于创建一个开源的、健壮的编译器框架，使研究现有的和未来的技术成为可能，支持对现有的和新颖的语言特性进行现实世界的实验，并提供与编程工具和环境交互的手段。更广泛的影响：减少执行实际编译器相关实验的努力，计划的基础结构应该使编译器技术广泛可用。此外，它将被用作课程和外展教育项目的教学平台。

Proposal #: CNS 07-08797 07-08856PI(s): Chapman, Barbara Gao, Guang R.Institution: University of Houston University of Delaware Houston, TX 77204-2015 Newark, DE 19716-1551Title: Planning: A Research Compiler Infrastructure Based on Open64This collaborative project, laying the groundwork for building, deploying, and demonstrating the usage of a robust and extensible parallelizing/optimizing compiler and runtime software infrastructure (mainly for high-end computing), facilitates the preparation of a future community resource for a variety of computer science research. Present work often relies on source-to-source transformation that ignores the effect of code generation, or addresses only one language. However, since new architectures imply challenges for languages, compilers, and tools as impending architectures incorporate an unprecedented amount of parallelism in the form of chip multithreading, shared memory parallelism, and clusters, the community can benefit from higher levels of integration between compilers and a variety of tools and other utilities in a programming environment. The project extends work based on the Open64 compiler suite, a robust, industry quality, state-of-the-art optimizing and parallelizing compiler that permits end-to-end experimentation and compiler research at all levels, including advanced computer architectures, parallel programming languages, compiler/runtime software, system software, application development, performance modeling/tuning, as well as grid computing. The work involves assessing the needs of other groups to address the challenges posed by increasingly complex programming paradigms and architectures.This planning project will develop a strategy for creating an open source, robust compiler framework that enables research on existing and future technologies, supports real-world experimentation with existing and novel language features, and provides the means for interaction with programming tools and environments.Broader Impacts: Reducing the effort in performing realistic compiler related experiments, the planned infrastructure should make compiler technologies broadly available. Moreover, it will be used as a teaching platform for courses and outreach education programs.