Collaborative Research: Programming Models, Compilers, and Runtimes for High-End Computing on Manycore Processors

协作研究：众核处理器上高端计算的编程模型、编译器和运行时

• 批准号: 0833166
• 负责人: Vivek Sarkar
• 金额: --
• 依托单位: William Marsh Rice 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: 2008-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0833166&HistoricalAwards=false
• 关键词: Collaborative; Research; Programming; Models; Compilers

The High End Computing (HEC) field is at a major crossroads due to the advent of many-core technology --- integration of tens and hundred processors (cores) on a single chip, heading to 1000 cores per chip in Exascale systems in the 2015-2020 timeframe. Unlike previous generations of hardware evolution, this shift in the hardware road-map will have a profound impact on future HEC software. First, the programmer will be faced with the scalability challenge of expressing and managing parallelism at the scale of millions to one billion threads in a single system. Second, the programmer will be faced with the locality challenge of optimizing data movement in a highly non-uniform system structure with order-of-magnitude gaps in bandwidth and latency between adjacent levels of the memory hierarchy.The specific focus of this project is on developing programming models, compilers, and runtimes to address the above challenges of future HEC systems, guided by a specific many-core architecture to ensure practicality. The research will deliver results in the following areas: 1) new parallel programming constructs for many-core architectures such as asynchronous activities, places, and phasers that build on past experiences with the X10 language, but will be manifested in C/C++ instead of Java in this research; 2) new parallel intermediate representations (PIR?s) and compiler optimizations for parallelism and locality; 3) a new thread virtual machine with two levels of parallelism, Synchronous Coarse-Grain Threads (SCTs) and Asynchronous Fine-Grain Threads (AFTs); and 4) evaluation of the programming model, compiler, and runtime on a Cyclops C64 many-core system that directly exemplifies the parallelism and locality challenges facing future HEC systems.

由于多核技术的出现，高端计算 (HEC) 领域正处于一个重要的十字路口——在单个芯片上集成数十个和数百个处理器（核心），在百亿亿次级系统中，每个芯片将达到 1000 个核心。 2015-2020 年时间表。与前几代硬件的演进不同，硬件路线图的这种转变将对未来的 HEC 软件产生深远的影响。 首先，程序员将面临在单个系统中表达和管理数百万到十亿线程规模的并行性的可扩展性挑战。其次，程序员将面临在高度不均匀的系统结构中优化数据移动的局部性挑战，该系统结构在内存层次结构的相邻级别之间存在数量级的带宽和延迟差距。该项目的具体重点是开发编程模型、编译器和运行时，以解决未来 HEC 系统的上述挑战，以特定的众核架构为指导，以确保实用性。该研究将在以下领域取得成果：1）针对多核架构的新并行编程结构，例如异步活动、位置和移相器，这些结构建立在 X10 语言过去的经验之上，但将以 C/C++ 而非 C/C++ 形式体现。本研究中的 Java； 2）新的并行中间表示（PIR）以及针对并行性和局部性的编译器优化； 3）新的线程虚拟机，具有两个并行级别：同步粗粒度线程（SCT）和异步细粒度线程（AFT）； 4) 对 Cyclops C64 众核系统上的编程模型、编译器和运行时进行评估，直接体现了未来 HEC 系统面临的并行性和局部性挑战。