EAGER: Kinetic Computing Sculpture: A functional parallel cluster of Raspberry Pi computers that inspire computational thinking

EAGER:动能计算雕塑:激发计算思维的 Raspberry Pi 计算机功能并行集群

基本信息

项目摘要

Without parallel computational thinking most modern scientific discoveries are impracticable (e.g. sequencing the human genome, confirmation of the Higgs boson). To recruit young minds at an early age (K-12) into the workforce and to encourage governments to continue investment, the parallel computing field must constantly educate non-computer scientists of all ages as to the importance of innovation that uncovers and exploits new capabilities. Unfortunately, educating laypersons as to the importance of parallel systems that grow exponentially large and complicated and change rapidly is wrought with challenges. Distribution of data and computation across a large parallel or distributed system is carried out by complex computer software. While the algorithms and systems used may have taken years to perfect, other than binary data packets and logs, and perhaps the hum of a system, there is little indication of the transmissions. Only a deeply informed individual is privy to the significance of the events taking place on a large parallel or distributed system.In this interdisciplinary project, the PIs are exploring radically different ways to improve our ability to educate non-computer scientists (e.g. students, K-12, funding decision makers, elderly, etc.) as to the importance and sophistication of parallel computation. This transformative approach combines the creation of a parallel or distributed system with mechanisms to visualize computation. With the combined expertise of computer scientists, educators, and artists, the PIs are designing and building a cluster of Raspberry Pi computers in a visually compelling, kinetic sculpture. Each computing device is attached to a compact servo mechanism fitted to an aluminum structure that will react to both computation and data movement of parallel programs running on the system. The PIs are designing displays that allow visitors to the sculpture to interactively select and view the effects of various parallel computation choices that computer and computational scientists make every day. The effectiveness of the proposed approach will be evaluated.
没有并行计算思维,大多数现代科学发现都是不可行的(例如人类基因组测序,希格斯玻色子的证实)。为了在早期(K-12)招募年轻人加入劳动力队伍,并鼓励政府继续投资,并行计算领域必须不断教育所有年龄段的非计算机科学家,了解发现和利用新功能的创新的重要性。不幸的是,教育外行关于并行系统的重要性,这些系统呈指数级增长,复杂且变化迅速,这是一项挑战。数据和计算在大型并行或分布式系统中的分布是由复杂的计算机软件执行的。虽然使用的算法和系统可能需要数年时间才能完善,但除了二进制数据包和日志,也许还有系统的嗡嗡声,几乎没有传输的迹象。在这个跨学科的项目中,PI正在探索完全不同的方法来提高我们教育非计算机科学家(例如学生,K-12,资助决策者,老年人等)的能力。并行计算的重要性和复杂性。这种变革性的方法将并行或分布式系统的创建与可视化计算的机制相结合。凭借计算机科学家,教育工作者和艺术家的专业知识,PI正在设计和构建一个视觉上引人注目的动态雕塑中的Raspberry Pi计算机集群。每个计算设备都连接到一个紧凑的伺服机构,该机构安装在一个铝制结构上,该结构将对系统上运行的并行程序的计算和数据移动做出反应。PI正在设计显示器,允许参观雕塑的游客交互式地选择和查看计算机和计算科学家每天做出的各种并行计算选择的效果。将对拟议办法的有效性进行评价。

项目成果

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Kirk Cameron其他文献

Interpolation of sparse high-dimensional data
  • DOI:
    10.1007/s11075-020-01040-2
  • 发表时间:
    2020-11-13
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Thomas C. H. Lux;Layne T. Watson;Tyler H. Chang;Yili Hong;Kirk Cameron
  • 通讯作者:
    Kirk Cameron

Kirk Cameron的其他文献

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{{ truncateString('Kirk Cameron', 18)}}的其他基金

CNS: CORE: Small: iLORE: Computer Systems Performance Integrated Lineage Repository
CNS:核心:小型:iLORE:计算机系统性能集成谱系存储库
  • 批准号:
    1939076
  • 财政年份:
    2019
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR:大型:VarSys:管理高性能计算系统的可变性
  • 批准号:
    1838271
  • 财政年份:
    2018
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR:大型:VarSys:管理高性能计算系统的可变性
  • 批准号:
    1565314
  • 财政年份:
    2016
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
CSR :Small: Exploiting Slowdowns for Speedup in Power-Scalable HPC Systems.
CSR:小:利用减速来提高功率可扩展 HPC 系统的速度。
  • 批准号:
    1422788
  • 财政年份:
    2014
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
SHF:Small:Collaborative Research: Application-aware Energy Modeling and Power Management for Parallel and High Performance Computing
SHF:Small:协作研究:用于并行和高性能计算的应用感知能源建模和电源管理
  • 批准号:
    1422712
  • 财政年份:
    2014
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
CSR: Medium: Collaborative Research: GridPac: A Resource Management System for Energy and Performance Optimization on Computational Grids
CSR:媒介:协作研究:GridPac:计算网格能源和性能优化的资源管理系统
  • 批准号:
    0905187
  • 财政年份:
    2009
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
CSR: Large: Collaborative Research: Multi-core Applications Modeling Infrastructure (MAMI)
CSR:大型:协作研究:多核应用建模基础设施 (MAMI)
  • 批准号:
    0910784
  • 财政年份:
    2009
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
SGER: Metrics And Methodologies for High Performance System Energy Benchmarking
SGER:高性能系统能源基准测试的指标和方法
  • 批准号:
    0848670
  • 财政年份:
    2008
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
CRI: MISER: A High-performance, Power-aware Cluster
CRI:MISER:高性能、功耗感知集群
  • 批准号:
    0709025
  • 财政年份:
    2007
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
CSR-AES: Thermal Conductors: Runtime software support for proactive heat management in advanced execution systems
CSR-AES:热导体:运行时软件支持高级执行系统中的主动热管理
  • 批准号:
    0720750
  • 财政年份:
    2007
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant

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  • 批准号:
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  • 批准年份:
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  • 资助金额:
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带奇性的 Kinetic Cucker-Smale 模型在随机环境中的平均场极限及时间渐近行为研究
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  • 批准年份:
    2005
  • 资助金额:
    12.0 万元
  • 项目类别:
    面上项目

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