CRI: Planning A Research Compiler Infrastructure Based on Open64

提案编号：CNS 07-08797 07- 08856 PI（s）： 查普曼 Gao，Guang R.机构：休斯顿大学 特拉华州休斯顿大学，TX 77204-2015 纽瓦克，DE 19716- 1551标题： 规划：基于Open 64的研究编译器基础设施这个合作项目为构建、部署和演示一个健壮的、可扩展的并行化/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。目前的工作往往依赖于源代码到源代码的转换，忽略了代码生成的影响，或地址只有一种语言。然而，由于新的架构意味着对语言，编译器和工具的挑战，因为即将到来的架构以芯片多线程，共享内存并行和集群的形式包含了前所未有的并行量，社区可以从编译器和各种工具之间的更高级别的集成中受益。该项目扩展了基于Open 64编译器套件的工作，Open 64编译器套件是一个强大的、行业质量的、最先进的优化和并行化编译器，允许在所有级别进行端到端实验和编译器研究，包括高级计算机体系结构、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体的需求，以应对日益复杂的编程范式和架构所带来的挑战。该规划项目将制定一项战略，以创建一个开源，强大的编译器框架，使现有和未来的技术研究，支持现有和新的语言功能的真实世界的实验，更广泛的影响：减少在执行现实的编译器相关的实验的努力，计划的基础设施应该使编译器技术广泛可用。此外，它将被用作课程和推广教育计划的教学平台。

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.