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Manycore Research Innovation and Opportunities Network (MaRIONet)

Manycore Research Innovation and Opportunities Network (MaRIONet)
众核研究创新和机会网络 (MaRIONet)
批准号:
EP/P006434/1
负责人:
Jeremy Singer
金额:
$11.67万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

Jeremy Singer的其他基金

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中文摘要
翻译
向多核心系统的过渡可以说是ICT行业、计算科学和计算科学研究面临的最大挑战。该挑战是全球公认的,并且是EPSRC ICT的优先事项:分布式和嵌入式系统中的多核架构(MACDES)。拟议的网络将确定并汇集大量的英国多核心研究人员。多核革命从根本上改变了计算执行堆栈的多个层次:从处理器架构,到系统软件,再到应用程序。英国拥有世界领先的研究人员和实业家,致力于各个层面的特定技术,但目前研究人员和工程师在复杂的许多核心挑战上没有充分的合作。此外,有意义的行业参与是有限的,尽管有大量基于香港的工业研究实验室对许多核心系统有战略兴趣。我们将促进学术和工业研究团队之间的有效沟通,无论是在执行堆栈的不同层面(例如:编译器开发者的目标是一个新兴的架构),并且在每个层次(例如,应用程序分析来改善系统层的内存访问延迟)。团队将受益于能够识别和利用协同效应和异花授粉的机会。我们将建立明确、高效的沟通渠道和低成本的协作机制。鉴于许多世界级的英国研究人员被隔离在相对较小的部门和研究小组中,该网络将使全国共享思想、信息和基础设施成为可能。社区支持和资源汇集将使英国研究人员能够在全球范围内实现更大的学术影响,有效地与美国(如伯克利的Aspire实验室)、中国(如北京)和中国(如北京)的更大、资源丰富的团体竞争。中国科学院计算机系统与体系结构国家重点实验室)等。架构创新和系统软件开发都是巨大的投资,通常涉及人-几十年的努力。MaRIONet将实现专业知识和基础设施的共享,降低在该领域工作的英国系统研究人员的进入门槛。工业网络合作伙伴将接触到解决当前问题的前沿研究和想法。学术合作伙伴获得真实世界的用例和重大挑战。在英国政策交流的“八大技术”中,至少有三项是由未来多核系统和软件的规模和速度的提高直接实现的,即:*大数据革命:由多核系统实现节能的大数据收集、分析和存储。*机器人和自主系统:由人工智能,规划,图像识别,类人运动控制的多核系统启用。*合成生物学:通过多核处理生物数据,实现生物机制的硅模拟。因此,我们预计未来英国的经济增长和社会福祉将受到许多核心技术的强烈影响,这是我们研究网络的重点。
英文摘要
The transition to manycore systems is arguably the greatest challengefacing the ICT industry, Computational Science, and Computing Scienceresearch. The challenge is globally recognised, and is an EPSRC ICT priority:Manycore Architectures in Distributed and Embedded Systems (MACDES).The proposed network will identify and bring together a critical massof UK manycore researchers. The manycore revolution is fundamentally changing multiple levels ofthe computation execution stack: from processor architecture, throughsystems software, to applications. The UK has world leadingresearchers and industrialists working on specific technologies ateach level, but currently researchers and engineers do not collaborateadequately on the complex manycore challenges. Furthermore,meaningful industry engagement is limited, despite the large number ofUK-based industrial research labs with strategic interest in manycoresystems.We will foster effective communication between academic and industrialresearch teams both at different levels in the execution stack(e.g. compiler developers targeting an emergent architecture), andwithin each level (e.g. program analysis applied to improve memoryaccess latency in the systems layer). The teams will benefit by beingable to identify and exploit synergies and opportunities forcross-pollination.We will establish well defined, highly available channels forcommunication and low-overhead mechanisms for collaboration. Giventhat many world-class UK researchers are isolated in relatively smalldepartments and research groups, the network will enable nationalsharing of ideas, information and infrastructure. Community supportand resource pooling will enable UK researchers to achieve greateracademic impact globally, competing effectively with larger,well-resourced groups in the USA (e.g. Aspire Lab at Berkeley), China(e.g. State Key Lab of Computer System and Architecture, ChineseAcademy of Sciences), and elsewhere.Both architectural innovation and systems software development aremassive investments, often involving person-decades ofeffort. MaRIONet will enable sharing of expertise and infrastructureto lower the barrier to entry for UK systems researchers working inthis area. Industrial network partners will gain exposure tocutting-edge research, and ideas to address current problems. Academicpartners gain real-world use cases and grand challenges.At least three of the UK Policy Exchange `Eight great technologies'are directly enabled by the increased scale and speed of future manycore systems and software, namely:* Big Data revolution: enabled by manycore systems for energy-efficient collection, analysis and storage of big data.* Robotics and autonomous systems: enabled by manycore systems for artificial intelligence, planning, image recognition, humanoid motion control. * Synthetic biology: enabled by manycore processing of biological data, in-silico simulation of bio-mechanisms. Hence we anticipate that future UK economic growth and societal well-beingwill be strongly influenced by manycore technology, which is the focus ofour research network.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Improving GHC Haskell NUMA profiling
改进 GHC Haskell NUMA 分析
DOI: 10.1145/3471873.3472974
发表时间: 2021
期刊:
影响因子: --
作者: [MacGregor R]
通讯作者: MacGregor R
Generic Exact Combinatorial Search at HPC Scale
HPC 规模的通用精确组合搜索
DOI: 10.1007/s10766-022-00744-3
发表时间: 2022
期刊: International Journal of Parallel Programming
影响因子: 1.5
作者: [MacGregor R]
通讯作者: MacGregor R
Could Tierless Languages Reduce IoT Development Grief?
无分层语言可以减少物联网开发的痛苦吗?
DOI: 10.1145/3572901
发表时间: 2023
期刊: ACM Transactions on Internet of Things
影响因子: --
作者: [Lubbers M]
通讯作者: Lubbers M
DOI: 10.1145/3115936.3115942
发表时间: 2017-07
期刊: Proceedings of the International Workshop on Parallel Symbolic Computation
影响因子: --
作者: [B. Archibald;Patrick Maier;Robert J. Stewart;P. Trinder;J. Beule]
通讯作者: B. Archibald;Patrick Maier;Robert J. Stewart;P. Trinder;J. Beule
共 7 条
    M4Secure: Making Memory Management More Secure
    • 批准号:
      EP/X037525/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $58.34万
    • 财政年份:
      2023
    • 负责人:
      Jeremy Singer
    • 依托单位:
    Capabilities for Coders
    • 批准号:
      EP/X015831/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $13.1万
    • 财政年份:
      2022
    • 负责人:
      Jeremy Singer
    • 依托单位:
    Capable VMs
    • 批准号:
      EP/V000349/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $59.8万
    • 财政年份:
      2020
    • 负责人:
      Jeremy Singer
    • 依托单位:
    FRuIT: The Federated RaspberryPi Micro-Infrastructure Testbed
    • 批准号:
      EP/P004024/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $115.89万
    • 财政年份:
      2017
    • 负责人:
      Jeremy Singer
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)