SHF: Large: Collaborative Research: Unified Runtime for Supporting Hybrid Programming Models on Heterogeneous Architecture.

SHF：大型：协作研究：支持异构架构上的混合编程模型的统一运行时。

• 批准号: 1213056
• 负责人: Amitava Majumdar
• 金额: $ 38.22万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1213056&HistoricalAwards=false
• 关键词: SHF; Large; Collaborative; Research; Unified

Most of the traditional High-End Computing (HEC) applications andcurrent petascale applications are written using the Message PassingInterface (MPI) programming model. Some of these applications are runin MPI+OpenMP mode. However, it can be very difficult to use MPI orMPI+OpenMP and maintain performance for applications which demonstrateirregular and dynamic communication patterns. The Partitioned GlobalAddress Space (PGAS) programming model presents a flexible way forthese applications to express parallelism. Accelerators introduceadditional programming models: CUDA, OpenCL or OpenACC. Thus, theemerging heterogeneous architectures require support for varioushybrid programming models: MPI+OpenMP, MPI+PGAS, and MPI+PGAS+OpenMPwith extended APIs for multiple levels of parallelism. Unfortunately,there is no unified runtime which delivers the best performance andscalability for all of these hybrid programming models for a range ofapplications on current and next-generation HEC systems. This leadsto the following broad challenge: "Can a unified runtime for hybridprogramming model be designed which can provide benefits that aregreater than the sum of its parts?"A synergistic and comprehensive research plan, involving computerscientists from The Ohio State University (OSU) and Ohio SupercomputerCenter (OSC) and computational scientists from the Texas AdvancedComputing Center (TACC) and San Diego Supercomputer Center (SDSC),University of California San Diego (UCSD), is proposed to address theabove broad challenge with innovative solutions. The investigatorswill specifically address the following challenges: 1) What are therequirements and limitations of using hybrid programming models for aset of petascale applications? 2) What features and mechanisms areneeded in a unified runtime? 3) How can the unified runtime andassociated extension to programming model APIs be designed andimplemented? 4) How can candidate petascale applications beredesigned to take advantage of proposed unified runtime? and 5) Whatkind of benefits (in terms of performance, scalability andproductivity) can be achieved by the proposed approach? The researchwill be driven by a set of applications from established NSFcomputational science researchers running large scale simulations onRanger and other systems at OSC, SDSC and OSU. The proposed designswill be integrated into the open-source MVAPICH2 library. Theestablished national-scale training and outreach programs at TACC,SDSC and OSC will be used to disseminate the results of this research.

大多数传统的高端计算应用程序（HEC）应用程序和电流Petascale应用程序都是使用Message传递界面（MPI）编程模型编写的。其中一些应用程序是Runin MPI+OpenMP模式。 但是，使用MPI ORMPI+OpenMP并维护表现出表现为旋转和动态通信模式的应用程序可能非常困难。 分区的GlobalAddress空间（PGA）编程模型提出了一种灵活的方式来表达并行性。 加速器引入核能编程模型：CUDA，OPENCL或OPENACC。 因此，出现的异质体系结构需要支持各种杂化编程模型：MPI+OpenMP，MPI+PGA和MPI+PGAS+OpenMPWith扩展API，以进行多个并行性。 不幸的是，没有统一的运行时，可以为所有这些混合编程模型提供最佳的性能和尺度性，用于对当前和下一代HEC系统的一系列应用程序。 这是以下广泛的挑战：“可以设计混合程序模型的统一运行时，它可以提供比零件的总和提供的好处吗？”一项协同和全面的研究计划，涉及俄亥俄州立大学（OSU）和俄亥俄州的计算机科学家提议通过创新的解决方案来应对Theabove广泛的挑战，从而通过创新的解决方案来应对广泛的挑战，从而通过创新的解决方案来应对巨大的挑战。 调查人员将特别应对以下挑战：1）使用混合编程模型用于佩斯卡尔应用程序的ASET和局限性是什么？ 2）在统一运行时制定了哪些功能和机制？ 3）如何设计和实现统一的运行时并相关的编程模型API？ 4）候选人Petascale应用程序如何利用拟议的统一运行时间来审议​​？ 5）拟议方法可以实现福利（在绩效，可伸缩性和生产率方面）的福利？ 该研究将由已建立的NSFComputitation Science研究人员进行大规模仿真和OSC，SDSC和OSU的其他系统的一系列应用程序驱动。 拟议的Designswill集成到开源MVAPICH2库中。 TACC，SDSC和OSC的最佳国家规模培训和外展计划将用于传播这项研究的结果。