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CRI: II-NEW: MYSTIC: Programmable Systems Research Testbed to Explore a Stack-WIde Adaptive System fabriC

CRI: II-NEW: MYSTIC: Programmable Systems Research Testbed to Explore a Stack-WIde Adaptive System fabriC
CRI:II-新:神秘:探索全栈自适应系统结构的可编程系统研究测试台
批准号:
1730689
负责人:
Ioan Raicu
金额:
$100.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2021-06-30

项目摘要

项目成果

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中文摘要
翻译
该项目将为可重构通信和输入/输出子系统的实验建立一个试验台,以进行低水平的系统研究。这项研究的目标是通过根据应用程序的需求动态重新配置来消除网络、内存和存储性能瓶颈。随着计算应用程序的性质从以计算为中心转变为以数据为中心,数据通信构成了程序执行的很大一部分。在该试验台中,内存、存储及其连接的组织将动态变化,以适应工作负载,从而提高执行程序的整体性能。PI将构建一个名为Mytic的动态可配置集群,以研究从处理器到内存、存储和网络的整个计算堆栈的系统可重配性。它将允许在片上网络(NoC)、通用存储器和具有多维网络拓扑的网络互连级别进行低级别实验和重新配置。动态重新配置互连、内存和存储将加快在异类计算环境中运行的应用程序的速度。目标应用的示例包括用于负载平衡的动态多路径路由、部署用于持久存储的字节可寻址非易失性双列直插式存储器模块(NVDIMM)的通用存储器以及操作系统的片上网络(NOC)抽象。
英文摘要
This project will build a testbed for experimenting with reconfigurable communication and Input/Output subsystems to conduct low-level systems research. This goal of this research is to remove network, memory and storage performance bottlenecks by dynamically reconfiguring them to the needs of an application. As the nature of computing applications change from compute-centric to data-centric, communication of data comprises a large part of program execution. In this testbed, the organization of memory, storage and their connectivity will change dynamically to adapt to the workload to improve overall performance of the executing programs. The PIs will build a dynamically configurable cluster called MYSTIC to study system re-configurability across the entire computing stack, from the processor to memory, storage, and the network. It will allow low-level experimentation and reconfiguration at the level of networks-on-chip (NoC), universal memory, and the network interconnect with multidimensional network topologies. Dynamically reconfiguring interconnects, memory and storage will speed-up applications running on a heterogeneous computing environment. Examples of target applications include dynamic multipath routing for load-balancing, universal memory that deploys byte addressable Non-Volatile Dual In-line Memory Module (NVDIMM) for persistent storage and Network-on-Chip (NoC) abstractions for Operating Systems.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Paths to OpenMP in the kernel
内核中 OpenMP 的路径
DOI: 10.1145/3458817.3476183
发表时间: 2021
期刊: Storage and Analysis (SC '21
影响因子: --
作者: [Ma, Jiacheng, Wang, Wenyi, Nelson, Aaron, Cuevas, Michael, Homerding, Brian, Liu, Conghao, Huang, Zhen, Campanoni, Simone, Hale, Kyle, Dinda, Peter]
通讯作者: Dinda, Peter
DOI: 10.1145/3492321.3519553
发表时间: 2021-04
期刊: Proceedings of the Seventeenth European Conference on Computer Systems
影响因子: --
作者: [Nicholas C. Wanninger;Josh Bowden;K. Shetty;Ayush Garg;Kyle C. Hale]
通讯作者: Nicholas C. Wanninger;Josh Bowden;K. Shetty;Ayush Garg;Kyle C. Hale
Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures
通过现代多核架构上的可扩展并发队列实现极其细粒度的并行性
DOI: 10.1109/mascots53633.2021.9614292
发表时间: 2021
期刊: and Simulation of Computer and Telecommunication Systems (MASCOTS '21
影响因子: --
作者: [Nookala, Poornima, Dinda, Peter, Hale, Kyle C., Chard, Kyle, Raicu, Ioan]
通讯作者: Raicu, Ioan
Modeling Speedup in Multi-OS Environments
多操作系统环境中的建模加速
DOI: 10.1109/tpds.2021.3114984
发表时间: 2022
期刊: IEEE Transactions on Parallel and Distributed Systems
影响因子: 5.3
作者: [Tauro, Brian R., Liu, Conghao, Hale, Kyle C.]
通讯作者: Hale, Kyle C.
Collaborative Research: REU Site: BigDataX: From theory to practice in Big Data computing at eXtreme scales
  • 批准号:
    2150500
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.29万
  • 财政年份:
    2022
  • 负责人:
    Ioan Raicu
  • 依托单位:
Collaborative Research: OAC Core: Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures
  • 批准号:
    2107548
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.37万
  • 财政年份:
    2021
  • 负责人:
    Ioan Raicu
  • 依托单位:
REU Site: Collaborative Research: BigDataX: From theory to practice in Big Data computing at eXtreme scales
  • 批准号:
    1757964
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.31万
  • 财政年份:
    2018
  • 负责人:
    Ioan Raicu
  • 依托单位:
REU Site: BigDataX: From Theory to Practice in Big Data Computing at Extreme Scales
  • 批准号:
    1461260
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.8万
  • 财政年份:
    2015
  • 负责人:
    Ioan Raicu
  • 依托单位:
国内基金
海外基金
基于生境成像与深度学习联合临床特征构建II型卵巢癌术前淋巴结转移预测模型的研究
鸡软骨非变性II型胶原高效制备和靶向递送的关键技术开发与应用示范
青蒿琥酯协同TROP2/线粒体级联靶向的NIR-II多模态诊疗用于晚期TNBC精准诊断与治疗的机制研究
  • 批准号:
    2026JJ30126
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    杨沙
  • 依托单位:
苏合颗粒治疗慢性萎缩性胃炎的临床(II期)评价关键技术研究