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CISE Research Resources: Acquisition of a cluster for experimental parallel computing research in scientific computing and computational biology

CISE Research Resources: Acquisition of a cluster for experimental parallel computing research in scientific computing and computational biology
CISE 研究资源:收购用于科学计算和计算生物学实验并行计算研究的集群
批准号:
0130861
负责人:
Srinivas Aluru
金额:
$16.65万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-15 至 2004-08-31

项目摘要

项目成果

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中文摘要
翻译
0130861斯利尼瓦斯AluruIowa Stae University国际教育研究中心研究资源:为科学计算和计算生物学的实验并行计算研究获得集群这个项目为爱荷华州立大学电气和计算机工程系提供资金,用于购买通过高速网络连接的奔腾工作站集群。该集群将用作分布式存储并行计算机,并将致力于支持并行计算、生物信息学和计算生物学以及科学计算方面的研究。更具体地说,这些设备将用于研究:用于基因识别的并行算法和软件,用于电磁散射分析的并行算法和软件,基于树的数据结构的可扩展并行化,以及用于程序正确性、验证和优化的集成软件可视化环境。将进行实验研究,以评估所开发的并行算法的性能,并将使用从这些研究中获得的知识来获得高效、可扩展的并行实现。购买该仪器将使研究人员能够开发、演示和传播能够解决当前相关的大规模科学应用的综合软件系统。
英文摘要
0130861 Srinivas AluruIowa Stae UniversityCISE Research Resources: Acquisition of a Cluster for Experimental Parallel Computing Research in Scientific Computing and Computational BiologyThis project provides funding to Department of Electrical and Computer Engineering at Iowa State University for acquisition of a cluster of 64 Pentium workstations connected by a high-speed network. The cluster will be used as a distributed memory parallel computer and will be dedicated to support research in parallel computing, bioinformatics and computational biology, and scientific computing. More specifically, the equipment will be used for research in: parallel algorithms and software for gene identification, parallel algorithms and software for electromagnetic scattering analysis, scalable parallelization of tree-based data structures, and integrated software visualization environments for program correctness, validation and optimization. Experimental studies will be conducted to evaluate the performance of the parallel algorithms developed and the knowledge gained from such studies will be used to derive efficient, scalable, parallel implementations. Acquisition of the instrumentation will enable researchers to develop, demonstrate and disseminate comprehensive software systems that are capable of solving large-scale scientific applications of current relevance.
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A scalable integrated multi-modal single cell analysis framework for gene regulatory and cell-cell interaction networks
  • 批准号:
    2233887
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.58万
  • 财政年份:
    2023
  • 负责人:
    Srinivas Aluru
  • 依托单位:
BD Hubs: Collaborative Proposal: SOUTH:The South Big Data Innovation Hub
  • 批准号:
    1916589
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $203.16万
  • 财政年份:
    2019
  • 负责人:
    Srinivas Aluru
  • 依托单位:
AF: Small: Algorithmic Techniques for High-throughput Analysis of Long Reads
  • 批准号:
    1816027
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.5万
  • 财政年份:
    2018
  • 负责人:
    Srinivas Aluru
  • 依托单位:
EAGER: A Framework for Learning Graph Algorithms with Applications to Social and Gene Networks
  • 批准号:
    1841351
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2018
  • 负责人:
    Srinivas Aluru
  • 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:
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  • 依托单位:
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Cell Research
Cell Research (细胞研究)