Collaborative Research:Frameworks: Basic ALgebra LIbraries for Sustainable Technology with Interdisciplinary Collaboration (BALLISTIC)

协作研究:框架:跨学科协作可持续技术的基本代数库(BALLISTIC)

基本信息

  • 批准号:
    2004763
  • 负责人:
  • 金额:
    $ 61.18万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-06-01 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

Scientific software libraries have long provided a large and growing resource for high-quality, reusable software components upon which applications from science and engineering can be rapidly constructed — with improved robustness, portability, and sustainability. For this, a team of researchers from four collaborating organizations proposed to develop BALLISTIC (Basic ALgebra Libraries for Sustainable Technology with Interdisciplinary Collaboration). The BALLISTIC project, through the leading-edge research it channels into its software deliverables, will lead to the introduction of tools that will simplify the transition to the next generation of extreme-scale computer architectures. The main impact of the project will be to develop, push, and deploy software into the scientific community to make it competitive on a world-wide scale and to contribute to standardization efforts in the area. BALLISTIC has the potential to become the community standard for dense linear algebra and be adopted and/or supported by a large community of users, computing centers, and High-Performance Computing (HPC) vendors. Learning to use numerical libraries is a basic part of the education of a computational scientist or engineer in many fields and at many academic institutions. BALLISTIC will have a correspondingly large impact on the research and education community, government laboratories, and private industry and support national efforts to build a workforce capable of employing state of the art tools in pursuit of science and engineering discoveries.The goal of BALLISTIC is to create a layered package of software components that is capable of running at every level of the platform deployment pyramid and achieves three complementary objectives: (1) deliver seamless access to the most up-to-date algorithms, numerics, and performance via familiar Sca/LAPACK interfaces, wherever possible; (2) make advanced algorithms, numerics, and performance capabilities available through new interface extensions, wherever necessary; and (3) provide a well-engineered conduit through which new discoveries at the frontiers of research in these areas can be channeled as quickly as possible to all the applications from science and engineering communities that depend on high-performance linear algebra libraries.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
长期以来,科学软件库为高质量、可重用的软件组件提供了大量且不断增长的资源,科学和工程应用程序可以在这些组件上快速构建,并具有更好的鲁棒性、可移植性和可持续性。为此,来自四个合作组织的研究人员提出开发BALLISTIC(跨学科合作的可持续技术基础代数库)。BALLISTIC项目通过将前沿研究引入其软件交付成果,将导致引入工具,简化向下一代极端规模计算机架构的过渡。该项目的主要影响将是开发,推动和部署软件到科学界,使其在世界范围内具有竞争力,并为该领域的标准化工作做出贡献。BALLISTIC有可能成为稠密线性代数的社区标准,并被大型用户社区、计算中心和高性能计算(HPC)供应商采用和/或支持。学习使用数字库是许多领域和许多学术机构的计算科学家或工程师教育的基本部分。BALLISTIC将对研究和教育界,政府实验室,BALLISTIC的目标是创建一个分层的软件组件包,能够在平台部署金字塔的每一个级别上运行,并实现三个目标:互补目标:(1)尽可能通过熟悉的Sca/LAPACK接口提供对最新算法、数值和性能的无缝访问;(2)必要时通过新的接口扩展提供高级算法、数值和性能功能;及(3)提供一个良好的-工程管道,通过该管道,这些领域研究前沿的新发现可以尽快被引导到科学和工程界的所有应用程序,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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James Demmel其他文献

Fast multiplication of random dense matrices with sparse matrices
随机稠密矩阵与稀疏矩阵的快速乘法
Minimizing Communication in Linear Algebra
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James Demmel
  • 通讯作者:
    James Demmel
Writing programs that scale with increasing numbers of cores should be as easy as writing programs for sequential computers
编写随着内核数量的增加而扩展的程序应该像为顺序计算机编写程序一样简单
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Asanović;Rastislav Bodík;James Demmel;T. Keaveny;K. Keutzer;J. Kubiatowicz;Nelson Morgan;David A. Patterson;Koushik Sen;J. Wawrzynek;David Wessel;K. Yelick
  • 通讯作者:
    K. Yelick
Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for the Symmetric Eigenproblem
对称特征值问题多段多特征值法的自动性能调优
Modeling the Bene ts of Mixed Data and Task Parallelism
模拟混合数据和任务并行性的好处
  • DOI:
  • 发表时间:
    1997
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James Demmel;K. Yelick
  • 通讯作者:
    K. Yelick

James Demmel的其他文献

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{{ truncateString('James Demmel', 18)}}的其他基金

REU Site: Summer Undergraduate Program in Engineering Research at Berkeley (SUPERB): Collecting and Using Big Data for the Public Good
REU 网站:伯克利工程研究暑期本科生课程(SUPERB):为公共利益收集和使用大数据
  • 批准号:
    1659833
  • 财政年份:
    2017
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant
SI2 SSI: Collaborative Research: Sustained Innovations for Linear Algebra Software (SILAS)
SI2 SSI:协作研究:线性代数软件 (SILAS) 的持续创新
  • 批准号:
    1339676
  • 财政年份:
    2013
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Continuing Grant
Collaborative Research: SDCI HPC Improvement: Improvement and Support of Community Based Dense Linear Algebra Software for Extreme Scale Computational Science
合作研究:SDCI HPC 改进:针对超大规模计算科学的基于社区的密集线性代数软件的改进和支持
  • 批准号:
    1032639
  • 财政年份:
    2010
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant
Reliable and Scalable Software for Linear Algebra Computations on High End Computers
用于在高端计算机上进行线性代数计算的可靠且可扩展的软件
  • 批准号:
    0444486
  • 财政年份:
    2005
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant
ITR/SI: Societal Scale Information Systems: Technologies, Design and Applications
ITR/SI:社会规模信息系统:技术、设计和应用
  • 批准号:
    0122599
  • 财政年份:
    2001
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Continuing Grant
Linear Algebra Algorithms and Tools for Emerging Computing Environments and User Communities
适用于新兴计算环境和用户社区的线性代数算法和工具
  • 批准号:
    9813362
  • 财政年份:
    1999
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Continuing Grant
Proposal for Toolboxes and Templated for Large Scale Linear Algebra Problems
针对大规模线性代数问题的工具箱和模板提案
  • 批准号:
    9313958
  • 财政年份:
    1994
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Continuing Grant
Parallelize a Global Atmospheric Chemical Tracer Model (Postdoctoral Research Associateship in Computational Science and Engineering)
并行化全球大气化学示踪剂模型(计算科学与工程博士后研究助理)
  • 批准号:
    9404748
  • 财政年份:
    1994
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant
CISE 1994 Minority Graduate Fellowships Honorable Mention for Melody Ivory
Melody Ivory 获得 CISE 1994 少数族裔研究生奖学金荣誉奖
  • 批准号:
    9423174
  • 财政年份:
    1994
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Analyzing Failures in Algorithms forGeneralized Eigenproblems Using Singularity Theory
数学科学:使用奇点理论分析广义本征问题算法中的失败
  • 批准号:
    9120852
  • 财政年份:
    1992
  • 资助金额:
    $ 61.18万
  • 项目类别:
    Standard Grant

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