OMP-D: Shared-Address-Space Model and Programming System for High-End Computing

OMP-D：用于高端计算的共享地址空间模型和编程系统

• 批准号: 0833115
• 负责人: Samuel Midkiff
• 金额: $ 60.87万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0833115&HistoricalAwards=false
• 关键词: OMP; Shared; Address; Space; Model

This research develops shared-address-space (SAS) programming models for distributed computer architectures. Almost all of today's high-end computers (HEC) have a distributed system architecture. Programming such architectures is tedious and contributes to very high software costs. SAS programming is easier and leads to higher software productivity. Achieving the set goals of developing translators that efficiently execute SAS programs on distributed computer systems may have a large impact on the software industry and on the way software engineering for HEC is taught.The specific research is motivated by recent successes of a new SAS model and compiler that has demonstrated to perform close to hand-coded message passing programs by successful translation of the OpenMP SAS model to MPI. This project brings together expertise in programming models, compilers for parallel computing, compiler infrastructures, and languages for HEC, including HPF and OpenMP. The new system will allow current OpenMP programs to run on large HEC platforms, and will allow programmers to incrementally port and debug their sequential programs to utilize the OpenMP SAS model while achieving the benefits of larger-scale parallelism than is available on a single node. A number of novel compiler techniques, such as dynamic affinity optimizations, scalability enhancements, runtime array range detection, multicore integration, and parallel data-flow semantics will be developed and implemented in a prototype OMP-D (OpenMP for Distributed architectures) translator. The performance will be evaluated on a large set of benchmarks from the NAS, SPEC OMP, and SPEC MPI suites as well as several other HEC applications.

本研究开发了分布式计算机体系结构的共享地址空间（SAS）编程模型。当今几乎所有的高端计算机（HEC）都具有分布式系统架构。对这样的架构进行编程是乏味的，并且导致非常高的软件成本。SAS编程更简单，软件生产力更高。实现设定的目标，开发翻译器，有效地执行SAS程序的分布式计算机系统可能会有很大的影响，软件行业和软件工程的方式，HEC是taught.The具体的研究是由最近成功的一个新的SAS模型和编译器，已被证明执行接近手工编码的消息传递程序的成功翻译的OpenMP SAS模型到MPI的动机。 该项目汇集了编程模型，并行计算编译器，编译器基础设施和HEC语言（包括HPF和OpenMP）方面的专业知识。 新系统将允许当前的OpenMP程序在大型HEC平台上运行，并允许程序员逐步移植和调试其顺序程序，以利用OpenMP SAS模型，同时实现比单个节点上更大规模并行的好处。 一些新的编译器技术，如动态亲和力优化，可扩展性增强，运行时数组范围检测，多核集成，并行数据流语义将开发和实现在一个原型OMP-D（分布式架构的OpenMP）翻译。 性能将在NAS、SPEC OMP和SPEC MPI套件以及其他几个HEC应用程序的大量基准测试中进行评估。