课题基金 / 基金详情

CISE Research Instrumentation: Application Oriented Parallel Computing & Scientific Computing Research on a Commodity Parallel System

CISE Research Instrumentation: Application Oriented Parallel Computing & Scientific Computing Research on a Commodity Parallel System
CISE 研究仪器:面向应用的并行计算
批准号:
9729877
负责人:
Srinivas Aluru
金额:
$7.52万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-12-15 至 1999-11-30

项目摘要

项目成果

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中文摘要
翻译
9729877 Aluru,Srinivas新墨西哥州州立大学 CISE研究仪器:面向应用的并行计算和商用并行系统上的科学计算研究 该研究仪器主要用作实验测试平台 以下研究项目:-空间数据结构和应用的可扩展并行化,-蛋白质可扩展表面积计算的并行方法,-模拟瞬态电磁问题的并行光滑粒子流体动力学(SPH)方法的开发,-在大规模并行计算机上直接求解大型稀疏不规则方程组,以及-分布式系统中的性能测量。 仪器赠款用于购买由商品微处理器和网络组件组成的32处理器工作站集群。这些设备将用于在新墨西哥州州立大学计算机科学系建立一个并行计算实验室。工作站集群将用作分布式内存并行计算机,专门用于支持应用驱动的并行计算和基于低成本商品系统的高性能科学计算研究。 这项研究的结果将以图书馆、工具和应用软件的形式提供给对低成本基于商品的并行计算感兴趣的研究人员。该设备还支持计算科学的跨学科教育计划。
英文摘要
9729877 Aluru, Srinivas New Mexico State University CISE Research Instrumentation: Application Oriented Parallel Computing and Scientific Computing Research on a Commodity Parallel System This research instrumentation serves primarily as an experimental testbed for the following research projects:- Scalable Parallelization of Spatial Data Structures and Applications, - Parallel Methods for Protein Accessible Surface Area Calculations,- Development of Parallel Smoothed Particle Hydrodynamics (SPH) Methods for Simulating Transient Electromagnetic Problems,- Direct Solution of Large Sparse Irregular Systems of Equations on Massively Parallel Computers, and- Performance Measurement in Distributed Systems. The instrumentation grant funds the purchase of a 32-processor workstation cluster built from commodity microprocessors and networking components. The equipment is to be used to set up a Parallel Computing Laboratory in the Department of Computer Science at New Mexico State University. The workstation cluster will be used as a distributed memory parallel computer dedicated to support application-driven parallel computing and high-performance scientific computing research on low-cost commodity-based systems. Results from this research are to be made available in the form of libraries, tools and applications software for researchers interested in low-cost commodity-based parallel computing. The equipment also supports an interdisciplinary educational program in computational science.
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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
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    1916589
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
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  • 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:
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  • 财政年份:
    2018
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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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