SPX: Collaborative Research: Intelligent Communication Fabrics to Facilitate Extreme Scale Computing

SPX：协作研究：促进超大规模计算的智能通信结构

• 批准号: 2412182
• 负责人: Anthony Skjellum
• 金额: $ 45.01万
• 依托单位: Tennessee Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2412182&HistoricalAwards=false
• 关键词: SPX; Collaborative; Research; Intelligent; Communication

Advances in High-Performance Computing over the last several decades have enabled various important applications throughout science and engineering. Semiconductor technology increasingly faces fundamental physical limits. New approaches to hardware/software co-design are now achieving higher performance at extreme scales. This project will explore two new approaches: configurability and integration. Configurability enables hardware to map better to applications. Integration enables system components that have generally been single function to gain additional functionality. An example is a network for the transport of data. Such a network might also operate on that data as it is being transported. Integration enables compute everywhere in the architecture and network. Configurability and integration will lead to much more efficient use of computing resources. Such resources include high-performance computers. Another focus of this project will be in the use of Field Programmable Gate Arrays (FPGAs). FPGAs are a widely used type of integrated circuit. In FPGAs the hardware can be configured to match the application. FPGAs will allow the deployment of the research products into production systems. They will also allow evaluation of changes in system design. This work will advance extreme-scale computing applications. Such applications include medicine and new drug discovery. This project will also include training of graduate and undergraduate students. It will focus on students belonging to groups underrepresented in STEM disciplinesThe central theme of this project is that emerging centrality of hardware configurability and integration means that at least two old systems abstractions must be broken. First, this project will demonstrate that computation and communication should no longer comprise separate silos. Second, it will demonstrate that applications should no longer be mapped to fixed hardware. In their place, new hardware-software abstractions must necessarily be built around the idea of the application-centric system. This project will identify new computing modes -- computation distribution/offload and configurable hardware -- that will be application aware with tight mapping of applications to computer systems. This improved mapping, in turn, will require deploying a number of mechanisms, starting with improved compilers and high-quality application libraries but extending to lighter-weight yet intelligent middleware (for instance, improved Message Passing Interface middleware), automated application modification, dynamic autotuning, and machine learning assisting in all of these components. The project will consider all of these concerns in due course.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

过去几十年来，高性能计算的进步使得整个科学和工程领域的各种重要应用成为可能。半导体技术日益面临基本的物理限制。硬件/软件协同设计的新方法现在正在极端规模下实现更高的性能。该项目将探索两种新方法：可配置性和集成。可配置性使硬件能够更好地映射到应用程序。集成使通常具有单一功能的系统组件能够获得附加功能。一个例子是用于传输数据的网络。这样的网络还可以在传输数据时对其进行操作。集成使计算能够在架构和网络中无处不在。可配置性和集成将导致计算资源的更有效利用。此类资源包括高性能计算机。该项目的另一个重点是现场可编程门阵列（FPGA）的使用。 FPGA 是一种广泛使用的集成电路。在 FPGA 中，可以配置硬件来匹配应用。 FPGA 将允许将研究产品部署到生产系统中。它们还将允许评估系统设计的变化。这项工作将推进超大规模计算应用。此类应用包括医学和新药发现。该项目还将包括研究生和本科生的培训。它将重点关注 STEM 学科中代表性不足的群体的学生。该项目的中心主题是，硬件可配置性和集成的新兴中心地位意味着必须打破至少两个旧的系统抽象。首先，该项目将证明计算和通信不应再包含单独的孤岛。其次，它将证明应用程序不应再映射到固定硬件。取而代之的是，新的硬件软件抽象必须围绕以应用程序为中心的系统的理念构建。该项目将确定新的计算模式——​​计算分布/卸载和可配置硬件——这些模式将具有应用程序感知能力，并将应用程序紧密映射到计算机系统。反过来，这种改进的映射将需要部署许多机制，从改进的编译器和高质量的应用程序库开始，扩展到轻量级但智能的中间件（例如，改进的消息传递接口中间件）、自动应用程序修改、动态自动调整和机器学习协助所有这些组件。 该项目将在适当的时候考虑所有这些问题。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。