课题基金 / 基金详情

MRI: Acquisition of a GPU-Accelerated High Performance Computing and Visualization Cluster

MRI: Acquisition of a GPU-Accelerated High Performance Computing and Visualization Cluster
MRI:获取 GPU 加速的高性能计算和可视化集群
批准号:
1229709
负责人:
Inanc Senocak
金额:
$55.54万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2015-09-30

项目摘要

项目成果

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中文摘要
翻译
许多学科的科学和工程研究人员可以获得越来越多的计算能力和研究数据来支持他们的工作。需要最先进的网络基础设施资源来解决大型计算问题,并使大量数据可访问以促进上级分析。 该提案计划在可视化剧院设置中使用32节点GPU/CPU群集,并配备存储阵列和5×8英尺的平铺显示器。该设备将支持并行计算和渲染,数据存储和高分辨率成像,作为研究人员完成外部资助的工作。此外,该仪器将安装在一个对大学研究人员以及当地技术公司和合作伙伴开放的设施中,并为合作伙伴提供网络基础设施访问。该仪器将支持多尺度风能预测,减少化学和生物防御威胁的数据驱动建模,材料表征和建模,雪水文学和遥感,以及了解生命系统骨骼发育机制的基础研究以及生命系统如何保持复杂的三维形状。博伊西州立大学被公认为CUDA研究中心,在多个研究领域中采用GPU计算。中心?的目标是开发和应用先进的数值方法和计算算法的科学和工程,快速和实时计算可以改变目前的做法。该仪器将大大提高计算能力,并在推进研究项目中发挥关键作用。该仪器将直接支持博伊西州立大学的战略目标,成为一所杰出的大都市研究型大学。接触最先进的网络基础设施和研究不仅可以使研究人员受益,而且可能对本区域的学生产生深远的影响,否则他们可能永远不会接触到这些基础设施和研究。教师还将使用该工具来支持外部资助的教育活动。
英文摘要
Science and engineering researchers across many disciplines have access to increasing amounts of computing power and research data available to support their work. State of the art cyberinfrastructure resources are needed to tackle large computational problems and make massive data accessible to promote superior analysis. This proposal plans for a 32- node GPU/CPU cluster with a storage array and a 5×8 foot tiled display to be located in a visualization theater setting. The equipment will support parallel computing and rendering, data storage, and high resolution imaging as researchers complete externally funded work. In addition, the instrument will be housed at a facility open to both university researchers as well as to local technology companies and partners, and provide partners with cyberinfrastructure access as well. This instrument will support research in multi-scale wind energy forecasting, data-driven modeling for threat reduction in chemical and biological defense, material characterization and modeling, snow hydrology and remote sensing, and fundamental studies on understanding the mechanisms in skeleton development in living systems and how living systems maintain complex three dimensional shapes. Boise State University is recognized as a CUDA Research Center for embracing GPU computing use across multiple research fields. The center?s goal is to develop and apply advanced numerical methods and computational algorithms to science and engineering, where rapid and real-time computations can transform current practice. This instrument would substantially increase computing power and play a key role in advancing research projects.The instrument will directly support Boise State's strategic goal to emerge as a metropolitan research university of distinction. exposure to cutting edge cyberinfrastructure and research can not only benefit researchers, but may also have profound effects on regional students who might otherwise never gain exposure. Faculty will also use the instrument to support externally funded education activities.
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Turbulence in the Long-lived, Very Stable Atmospheric Boundary Layer
  • 批准号:
    2203610
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.39万
  • 财政年份:
    2022
  • 负责人:
    Inanc Senocak
  • 依托单位:
CDS&E: Collaborative Research: Deep learning enhanced parallel computations of fluid flow around moving boundaries on binarized octrees
  • 批准号:
    1953204
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2020
  • 负责人:
    Inanc Senocak
  • 依托单位:
Route to turbulence in Strongly Stratified Slope Flows
  • 批准号:
    1936445
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.28万
  • 财政年份:
    2019
  • 负责人:
    Inanc Senocak
  • 依托单位:
I-Corps: Short-term Wind Forecasting Engine
  • 批准号:
    1314122
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2013
  • 负责人:
    Inanc Senocak
  • 依托单位:
海外基金