Collaborative Research: Multiscale Software for Quantum Simulations in Nano Science and Technology

合作研究:纳米科学技术中量子模拟的多尺度软件

基本信息

  • 批准号:
    0749293
  • 负责人:
  • 金额:
    $ 68万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-10-01 至 2012-09-30
  • 项目状态:
    已结题

项目摘要

TECHNICAL SUMMARY:This award is made on a proposal submitted to the PetaApps Solicitation. The Office of Cyberinfrastructure, the Computer and Information Science and Engineering Directorate, and the Divisions of Materials Research, Physics, and Chemistry and the Office of Multidisciplinary Activities within the Mathematical and Physical Sciences Directorate contribute funds to this award. This project performs research and education in high performance computing in the domain of nanotechnology. The five principle investigators at two universities, plus graduate student researchers and postdoctoral researchers will be engaged in atomistic simulations of entire nanoscale device elements and structures. The project will produce modeling tools that will be shared freely as a set of open source quantum simulation tools for petascale supercomputers in the broad area of nanoscience and nanotechnology. The proposed work consists of interdependent parts that together to produce robust, high performance petascale tools for quantum simulations at nanoscale. The development of such tools requires interdisciplinary, synergistic research in (i) methodology and implementation of quantum methods, (ii) profiling, performance modeling and automatic optimization of kernels, and (iii) algorithm development and tuning. The tools will be based on existing real-space multi-grid (RMG) method, which are now well-established and successfully applied to a large number of systems. Profiling and performance modeling are required to ensure effective utilization of the petascale hardware and will be accomplished by using tools and improving tools from three projects: PAPI, KOJAK and TAU. The remaining activity, algorithm development, focuses on implicit iterative methods and preconditioners that would improve convergence while preserving linear or nearly linear scaling, on variable step size implicit methods for quantum molecular dynamics, and on sparse eigensolvers with reduced scaling. Development of true petascale simulation tools at the quantum level is a substantial achievement with lasting intellectual impact. New research avenues will likely emerge, as results of such simulations are analyzed and new generally applicable concepts are created. Access to the open-source quantum simulation tools for petascale computers will have a broad impact. Advances in this field are relevant to virtually every area of scientific endeavor including chemistry, biochemistry and molecular biosciences, computer science and engineering, earth sciences, engineering, environmental sciences and materials science. Students and post doctoral researchers trained in this area will have significant opportunities for advancement and contributing impact on their own.NON-TECHNICAL SUMMARY:This award is made on a proposal submitted to the PetaApps Solicitation. The Office of Cyberinfrastructure, the Computer and Information Science and Engineering Directorate, and the Divisions of Materials Research, Physics, and Chemistry and the Office of Multidisciplinary Activities within the Mathematical and Physical Sciences Directorate contribute funds to this award. This project carries out research and education in high performance computing in the domain of nanotechnology. The work produces simulations of ultra-miniaturized electronic and structural elements, nearly the size of a millionth of an inch, which are nano-sized components of nano-devices. Computer software is being developed that can build, in a virtual sense, such device on an atom by atom basis and simulate operation and predict characteristics of such nano-device components. Such basic modeling gives highly reliable design characteristics of Nano Materials and the Devices and Processes involved in making the devices.The major work of the project is carried out by an interdisciplinary team of theoretical physicists, computer scientists and device modeling specialists. The five principle investigators at two universities, plus graduate student research and postdoctoral researchers will be engaged in atomistic simulations of entire nanoscale device elements and structures. The project will produce modeling tools that will be shared freely as a set of open source petascale quantum simulation tools in the broad area of nanoscience and nanotechnology.
技术摘要:该奖项是根据提交给 PetaApps 征集的提案颁发的。网络基础设施办公室、计算机和信息科学与工程理事会、材料研究、物理和化学部门以及数学和物理科学理事会内的多学科活动办公室为该奖项提供资金。 该项目在纳米技术领域进行高性能计算的研究和教育。两所大学的五名主要研究人员以及研究生研究人员和博士后研究人员将从事整个纳米级器件元件和结构的原子模拟。该项目将生产建模工具,这些工具将作为一套开源量子模拟工具免费共享,用于纳米科学和纳米技术广泛领域的千万亿级超级计算机。拟议的工作由相互依赖的部分组成,这些部分共同产生强大的、高性能的千万亿级工具,用于纳米级的量子模拟。此类工具的开发需要在以下方面进行跨学科的协同研究:(i)量子方法的方法和实施,(ii)内核的分析、性能建模和自动优化,以及(iii)算法开发和调整。这些工具将基于现有的实空间多重网格(RMG)方法,该方法现已成熟并成功应用于大量系统。为了确保有效利用千万级硬件,需要进行分析和性能建模,这将通过使用和改进来自三个项目的工具来完成:PAPI、KOJAK 和 TAU。剩下的活动,即算法开发,重点关注在保持线性或近线性缩放的同时提高收敛性的隐式迭代方法和预处理器、量子分子动力学的可变步长隐式方法以及具有缩小缩放的稀疏特征求解器。在量子水平上开发真正的千万级模拟工具是一项具有持久智力影响的重大成就。 随着对此类模拟结果的分析和新的普遍适用的概念的创建,新的研究途径可能会出现。使用用于千万级计算机的开源量子模拟工具将产生广泛的影响。该领域的进步几乎与科学事业的每个领域相关,包括化学、生物化学和分子生物科学、计算机科学和工程、地球科学、工程学、环境科学和材料科学。在该领域接受培训的学生和博士后研究人员将有重要的进步机会并为自己做出贡献。非技术摘要:该奖项是根据提交给 PetaApps 征集的提案颁发的。网络基础设施办公室、计算机和信息科学与工程理事会、材料研究、物理和化学部门以及数学和物理科学理事会内的多学科活动办公室为该奖项提供资金。 该项目开展纳米技术领域高性能计算的研究和教育。 这项工作对超小型电子和结构元件进行了模拟,尺寸接近百万分之一英寸,是纳米设备的纳米级组件。正在开发的计算机软件可以在虚拟意义上逐个原子地构建此类设备,并模拟操作并预测此类纳米设备组件的特性。这种基本建模提供了纳米材料以及制造设备所涉及的设备和工艺的高度可靠的设计特征。该项目的主要工作是由理论物理学家、计算机科学家和设备建模专家组成的跨学科团队进行的。两所大学的五名主要研究人员以及研究生研究和博士后研究人员将从事整个纳米级器件元件和结构的原子模拟。该项目将生产建模工具,这些工具将作为纳米科学和纳米技术广泛领域中的一组开源千万亿级量子模拟工具免费共享。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Shirley Moore其他文献

Quantitative Performance Assessment of Proxy Apps and Parents Report for ECP Proxy App Project Milestone AD-CD-PA-504-5
代理应用程序的定量性能评估和 ECP 代理应用程序项目里程碑的家长报告 AD-CD-PA-504-5
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    David Richards;O. Aaziz;Jeanine Cook;H. Finkel;Brian Homerding;P. McCorquodale;Tiffany Mintz;Shirley Moore;V. Ramakrishnaiah;C. Vaughan;Greg Watson
  • 通讯作者:
    Greg Watson
FY18 Proxy App Suite Release. Milestone Report for the ECP Proxy App Project
2018 财年代理应用程序套件发布。
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Richards;O. Aaziz;Jeanine E. Cook;H. Finkel;Brian Homerding;P. McCorquodale;T. Mintz;Shirley Moore;Abhinacv Bhatele;R. Pavel
  • 通讯作者:
    R. Pavel
Performance Engineering: Understanding and Improving thePerformance of Large-Scale Codes
性能工程:理解和提高大规模代码的性能
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Bailey;R. Lucas;P. Hovland;Boyana Norris;Kathy Yelick;Daniel Gunter;B. Supinski;Daniel J. Quinlan;Pat Worley;Jeffrey S. Vetter;P. Roth;J. Mellor;A. Snavely;J. Hollingsworth;Daniel A. Reed;Rob Fowler;Ying Zhang;Mary Hall;Jacqueline Chame;Jack J. Dongarra;Shirley Moore
  • 通讯作者:
    Shirley Moore

Shirley Moore的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Shirley Moore', 18)}}的其他基金

CC* Campus Compute: UTEP Cyberinfrastructure for Scientific and Machine Learning Applications
CC* 校园计算:用于科学和机器学习应用的 UTEP 网络基础设施
  • 批准号:
    2346717
  • 财政年份:
    2024
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
Collaborative Research: Frameworks: Scalable Performance and Accuracy analysis for Distributed and Extreme-scale systems (SPADE)
协作研究:框架:分布式和超大规模系统的可扩展性能和准确性分析 (SPADE)
  • 批准号:
    2311708
  • 财政年份:
    2023
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard 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:
    0910899
  • 财政年份:
    2009
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
Reliable Broadcast for Partitionable Networks
可分区网络的可靠广播
  • 批准号:
    9109067
  • 财政年份:
    1991
  • 资助金额:
    $ 68万
  • 项目类别:
    Continuing Grant

相似国自然基金

多尺度视角下黄河流域人口就近城镇化空间格局与机制研究
  • 批准号:
    42371266
  • 批准年份:
    2023
  • 资助金额:
    48 万元
  • 项目类别:
    面上项目
基于多尺度多模态脑网络的阿尔茨海默症病理进程研究
  • 批准号:
    62302044
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
多尺度级串吸振超材料的设计与靶向能量转移规律研究
  • 批准号:
    12372021
  • 批准年份:
    2023
  • 资助金额:
    52 万元
  • 项目类别:
    面上项目
污染环境下多尺度气溶胶粒子散射特性研究
  • 批准号:
    52376072
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
PLA/PPC交替多层薄膜的多尺度结构设计及性能强化研究
  • 批准号:
    52373046
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Multiscale study of oscillating flow and multiphase heat transfer in porous media
合作研究:多孔介质中振荡流和多相传热的多尺度研究
  • 批准号:
    2414527
  • 财政年份:
    2024
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
Collaborative Research: Multiscale Analysis and Simulation of Biofilm Mechanics
合作研究:生物膜力学的多尺度分析与模拟
  • 批准号:
    2313746
  • 财政年份:
    2023
  • 资助金额:
    $ 68万
  • 项目类别:
    Continuing Grant
Collaborative Research: Understanding Acoustoplasticity through Multiscale Computational and In-Situ, Time-Resolved Experimental Approach
合作研究:通过多尺度计算和原位时间分辨实验方法了解声塑性
  • 批准号:
    2148678
  • 财政年份:
    2023
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 2: Building a multiscale community-led ecosystem for crustal geology through the integration of Macrostrat and StraboSpot
合作研究:GEO OSE 第 2 轨道:通过 Macrostrat 和 StraboSpot 的集成构建多尺度社区主导的地壳地质生态系统
  • 批准号:
    2324580
  • 财政年份:
    2023
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
Collaborative Research: Data-Driven Variational Multiscale Reduced Order Models for Biomedical and Engineering Applications
协作研究:用于生物医学和工程应用的数据驱动的变分多尺度降阶模型
  • 批准号:
    2345048
  • 财政年份:
    2023
  • 资助金额:
    $ 68万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了