SHF:Small: Portable High-Level Programming Model for Heterogeneous Computing Based on OpenMP

SHF:Small：基于OpenMP的可移植异构计算高级编程模型

• 批准号: 0917285
• 负责人: Barbara Chapman
• 金额: $ 49.99万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917285&HistoricalAwards=false
• 关键词: SHF; Small; Portable; Level; Programming

High-end systems and general-purpose computers alike are increasingly being configured with hardware accelerators. A typical system, or node of a large-scale platform, contains a few multicore processors that share memory, together with one or more coprocessors, such as a high-end accelerator board, an inexpensive programmable graphics card (GPGPU), or an FPGA (Field Programmable Gate Array). The coprocessors will typically have a different instruction set, distinct memory, a different operating environment and markedly different execution characteristics than the multicore component of the system. As a result, these heterogeneous platforms pose tough challenges with regard to their programmability. The goal of this research is to significantly simplify the process of developing code for heterogeneous platforms by providing a single, high-level programming interface that may be used across, and within, multicore processors and a broad variety of accelerators. Language features will be designed, in the form of an extension to the industry standard OpenMP API, that will enable the application developer to specify code regions for acceleration, along with the necessary synchronization and data motion. The implementation will translate the resulting enhanced OpenMP for a variety of heterogeneous platforms.

高端系统和通用计算机都越来越多地配置硬件加速器。一个典型的系统，或大型平台的节点，包含几个共享内存的多核处理器，以及一个或多个协处理器，如高端加速器板，廉价的可编程图形卡（GPGPU）或FPGA（现场可编程门阵列）。 协处理器通常具有与系统的多核组件不同的指令集、不同的存储器、不同的操作环境和明显不同的执行特性。因此，这些异构平台就其可编程性提出了坚韧的挑战。 这项研究的目标是通过提供一个可以在多核处理器和各种加速器之间和内部使用的单一高级编程接口，大大简化为异构平台开发代码的过程。语言功能将以扩展行业标准OpenMP API的形式设计，使应用程序开发人员能够指定加速代码区域，沿着必要的同步和数据移动。 该实现将把由此产生的增强型OpenMP转化为各种异构平台。