CRI: CRD - Enabling Research on Architecturally Diverse Computers

CRI：CRD - 支持对架构多样化的计算机进行研究

• 批准号: 0751212
• 负责人: Roger Chamberlain
• 金额: $ 30.5万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-15 至 2012-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751212&HistoricalAwards=false
• 关键词: CRI; CRD; Enabling; Research; Architecturally

Architecturally diverse computers are those in which a variety of distinct computing engines are mutually present in a system. Examples include chip multiprocessors, reconfigurable logic, and graphics engines. While constructing systems of this type is straightforward, actually using the capabilities of the diverse architectural components to effectively deploy an interesting application is quite difficult.Each of the different computing engines has its own architecture, memory subsystem, language for authoring applications, performance capabilities and limitations, algorithmic strengths and weaknesses, and communities of proponents and detractors. Coordinating a single application across all of this diversity is a daunting task.Auto-Pipe is an application development environment that is designed to support the exploitation of a wide variety of computing engines in the execution of real-world applications. Auto-Pipe includes a coordination language, compiler, simulator, deployment tool, and performance monitor. Application authors compose algorithm kernels into streaming applications and the development environment eases the tasks of specifying the required data communications, debugging the composed application, mapping the kernels to computational resources, understanding the performance implications of the mapping decisions, and deploying the resulting application on the architecturally diverse computer system. Auto-Pipe is being developed as a community resource to enable the middleware and computational science communities to effectively use architecturally diverse computers.

体系结构多样化的计算机是指系统中相互存在各种不同的计算引擎的计算机。例子包括芯片多处理器、可重构逻辑和图形引擎。虽然构造这种类型的系统很简单，但实际上使用各种体系结构组件的功能来有效地部署一个有趣的应用程序是相当困难的。每一种不同的计算引擎都有自己的体系结构、内存子系统、编写应用程序的语言、性能能力和限制、算法的优点和缺点，以及支持者和反对者的社区。跨所有这些多样性协调单个应用程序是一项艰巨的任务。Auto-Pipe是一个应用程序开发环境，旨在支持在实际应用程序的执行中利用各种计算引擎。Auto-Pipe包括协调语言、编译器、模拟器、部署工具和性能监视器。应用程序作者将算法内核组合到流应用程序中，开发环境简化了指定所需数据通信、调试组合的应用程序、将内核映射到计算资源、理解映射决策的性能含义以及在体系结构不同的计算机系统上部署结果应用程序的任务。Auto-Pipe是作为一种社区资源开发的，它使中间件和计算科学社区能够有效地使用体系结构多样化的计算机。