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

基本信息

  • 批准号:
    1918987
  • 负责人:
  • 金额:
    $ 45.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2024-02-29
  • 项目状态:
    已结题

项目摘要

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.
在过去的几十年中,高性能计算的进步已使整个科学和工程的各种重要应用程序都能实现。半导体技术越来越面临基本的物理限制。硬件/软件共同设计的新方法现在在极端尺度上实现了更高的性能。该项目将探讨两种新方法:可配置性和集成。配置性使硬件能够更好地映射到应用程序。集成启用通常是单个功能的系统组件可以获得其他功能。一个示例是用于传输数据的网络。这样的网络也可能在传输数据时运行。集成可以在体系结构和网络中无处不在。可配置性和集成将导致更有效地利用计算资源。这样的资源包括高性能计算机。该项目的另一个重点是使用现场可编程门阵列(FPGA)。 FPGA是广泛使用的集成电路类型。在FPGA中,可以将硬件配置为匹配该应用程序。 FPGA将允许将研究产品部署到生产系统中。他们还将允许评估系统设计的变化。这项工作将推进极端规模的计算应用程序。这些应用包括医学和新药物发现。该项目还将包括培训研究生和本科生。它将专注于该项目的STEM学科中心主题中属于群体的学生的学生,这是硬件可配置性和集成的新兴中心性意味着至少必须打破两个旧系统的抽象。首先,该项目将证明计算和通信不应再包括单独的孤岛。其次,它将证明应用程序不再应映射到固定的硬件。取而代之的是,必须围绕以应用程序为中心的系统构建新的硬件软件抽象。该项目将确定新的计算模式 - 计算分配/卸载和可配置的硬件 - 将应用程序将应用程序紧密地映射到计算机系统中。反过来,这种改进的映射将需要部署多种机制,从改进的编译器和高质量的应用程序库开始,但扩展到更轻但智能的中间件(例如,改进的消息传递接口中间件),自动化应用程序修改,动态自动调整,动态自动调整以及所有这些组件的机器学习协助。 该项目将在适当的课程中考虑所有这些问题。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准的评估来支持的。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reconfigurable switches for high performance and flexible MPI collectives
  • DOI:
    10.1002/cpe.6769
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pouya Haghi;Anqi Guo;Qingqing Xiong;Chen Yang;Tong Geng;Justin T. Broaddus;Ryan J. Marshall;Derek Schafer;A. Skjellum;Martin C. Herbordt
  • 通讯作者:
    Pouya Haghi;Anqi Guo;Qingqing Xiong;Chen Yang;Tong Geng;Justin T. Broaddus;Ryan J. Marshall;Derek Schafer;A. Skjellum;Martin C. Herbordt
Implementation and evaluation of MPI 4.0 partitioned communication libraries
MPI 4.0分区通信库的实现和评估
  • DOI:
    10.1016/j.parco.2021.102827
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    Dosanjh, Matthew G.F.;Worley, Andrew;Schafer, Derek;Soundararajan, Prema;Ghafoor, Sheikh;Skjellum, Anthony;Bangalore, Purushotham V.;Grant, Ryan E.
  • 通讯作者:
    Grant, Ryan E.
Understanding the use of message passing interface in exascale proxy applications
了解消息传递接口在百亿亿级代理应用程序中的使用
  • DOI:
    10.1002/cpe.5901
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sultana, Nawrin;Rüfenacht, Martin;Skjellum, Anthony;Bangalore, Purushotham;Laguna, Ignacio;Mohror, Kathryn
  • 通讯作者:
    Mohror, Kathryn
Design of a Portable Implementation of Partitioned Point-to-Point Communication Primitives
分区点对点通信原语的便携式实现的设计
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Anthony Skjellum其他文献

Understanding GPU Triggering APIs for MPI+X Communication
了解用于 MPI X 通信的 GPU 触发 API
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Patrick G. Bridges;Anthony Skjellum;E. Suggs;Derek Schafer;P. Bangalore
  • 通讯作者:
    P. Bangalore

Anthony Skjellum的其他文献

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{{ truncateString('Anthony Skjellum', 18)}}的其他基金

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
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: Real-time Strategies and Synchronized Time Distribution Mechanisms for Enhanced Exascale Performance-Portability and Predictability
合作研究:EAGER:实时策略和同步时间分配机制,以增强百亿亿次性能-可移植性和可预测性
  • 批准号:
    2405142
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
Beginnings: Creating and Sustaining a Diverse Community of Expertise in Quantum Information Science (EQUIS) Across the Southeastern United States
起点:在美国东南部创建并维持一个多元化的量子信息科学 (EQUIS) 专业社区
  • 批准号:
    2414461
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Cooperative Agreement
Collaborative Research: EAGER: Real-time Strategies and Synchronized Time Distribution Mechanisms for Enhanced Exascale Performance-Portability and Predictability
合作研究:EAGER:实时策略和同步时间分配机制,以增强百亿亿次性能-可移植性和可预测性
  • 批准号:
    2151020
  • 财政年份:
    2022
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
CC* Networking Infrastructure: Advancing High-speed Networking at UTC for Research and Education
CC* 网络基础设施:推进 UTC 的研究和教育高速网络
  • 批准号:
    1925598
  • 财政年份:
    2019
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
Collaborative Research: Software Engineering Workforce Development in High Performance Computing for Digital Twins
协作研究:数字孪生高性能计算中的软件工程劳动力开发
  • 批准号:
    1935628
  • 财政年份:
    2019
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
CC* Compute: A Cost-Effective, 2,048 Core InfiniBand Cluster at UTC for Campus Research and Education
CC* 计算:UTC 的具有成本效益的 2,048 核心 InfiniBand 集群,用于校园研究和教育
  • 批准号:
    1925603
  • 财政年份:
    2019
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
Collaborative Research: CICI: Regional: SouthEast SciEntific Cybersecurity for University Research (SouthEast SECURE)
合作研究:CICI:区域:东南大学研究科学网络安全 (SouthEast SECURE)
  • 批准号:
    1812404
  • 财政年份:
    2017
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
SHF: Medium: Collaborative Research: Next-Generation Message Passing for Parallel Programming: Resiliency, Time-to-Solution, Performance-Portability, Scalability, and QoS
SHF:中:协作研究:并行编程的下一代消息传递:弹性、解决时间、性能可移植性、可扩展性和 QoS
  • 批准号:
    1822191
  • 财政年份:
    2017
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Continuing Grant
CICI: Data Provenance: Collaborative Research: Provenance Assurance Using Currency Primitives
CICI:数据来源:协作研究:使用货币基元的来源保证
  • 批准号:
    1821926
  • 财政年份:
    2017
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant

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相似海外基金

SPX: Collaborative Research: Automated Synthesis of Extreme-Scale Computing Systems Using Non-Volatile Memory
SPX:协作研究:使用非易失性存储器自动合成超大规模计算系统
  • 批准号:
    2408925
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
SPX: Collaborative Research: Scalable Neural Network Paradigms to Address Variability in Emerging Device based Platforms for Large Scale Neuromorphic Computing
SPX:协作研究:可扩展神经网络范式,以解决基于新兴设备的大规模神经形态计算平台的可变性
  • 批准号:
    2401544
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2023
  • 资助金额:
    $ 45.01万
  • 项目类别:
    Standard Grant
SPX: Collaborative Research: Cross-stack Memory Optimizations for Boosting I/O Performance of Deep Learning HPC Applications
SPX:协作研究:用于提升深度学习 HPC 应用程序 I/O 性能的跨堆栈内存优化
  • 批准号:
    2318628
  • 财政年份:
    2022
  • 资助金额:
    $ 45.01万
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SPX: Collaborative Research: NG4S: A Next-generation Geo-distributed Scalable Stateful Stream Processing System
SPX:合作研究:NG4S:下一代地理分布式可扩展状态流处理系统
  • 批准号:
    2202859
  • 财政年份:
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  • 资助金额:
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