Conference on Numerical Linear Algebra: Perturbation, Performance, and Portability

数值线性代数会议:扰动、性能和可移植性

基本信息

  • 批准号:
    1000622
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-01-15 至 2010-12-31
  • 项目状态:
    已结题

项目摘要

While the subject of numerical linear algebra dates back to before the first computations were performed by computers, it continues to be a vibrant topic of research. It is central to practical fields like optimization, data mining, signal and image processing, and control, to name a small subset. Recent advances in computer architecture, including the emergence of hardware accellerators like GPGPUs and the Cell Broadband Accellerator, have forced a fresh look at perturbation (e.g., because such processors often do not support IEEE standard arithmetic and/or mix precisions), performance (how to unleash the promised performance), and portability (programmability) issues. This conference will bring together leading experts in the field to examine recent and possible future advances related to these issues.A two day event will be held in the Advanced Computing Engineering and Sciences (ACES) building on the UT-Austin campus, July 19-20, 2010. The meeting will examine past and present contributions as well as future opportunities in the field of computational linear algebra, a key subject within mathematics and computer science that supports computational science. The conference includes invited talks by established authorities as well as rising stars in the field. An opportunity for more junior researchers (graduate and postdoctoral students) to showcase their research is included in form of a poster session. A panel discussion will examine the state of the field and future opportunities. The participation by individuals who do not have other federal support, and by students, postdocs, women, minorities, and persons with disabilities will be encouraged.
虽然数值线性代数的主题可以追溯到计算机进行第一次计算之前,但它仍然是一个充满活力的研究主题。它是诸如优化、数据挖掘、信号和图像处理以及控制等实用领域的核心。计算机体系结构的最新进展,包括GPGPU和CELL宽带加速器等硬件加速器的出现,迫使人们重新审视扰动(例如,因为这些处理器通常不支持IEEE标准算术和/或混合精度)、性能(如何释放承诺的性能)和可移植性(可编程性)问题。本次会议将汇集该领域的顶尖专家,研究与这些问题相关的最新进展和未来可能的进展。为期两天的活动将于2010年7月19-20日在德克萨斯大学奥斯汀校区的高级计算工程和科学(ACE)大楼举行。会议将审查计算线性代数领域的过去和现在的贡献以及未来的机会,计算线性代数是数学和计算机科学中支持计算科学的一个关键学科。会议包括老牌权威机构的特邀演讲以及该领域的新星。更多初级研究人员(研究生和博士后)有机会以海报形式展示他们的研究。小组讨论将审查该领域的状况和未来的机会。将鼓励没有其他联邦支持的个人以及学生、博士后、妇女、少数群体和残疾人参加。

项目成果

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Robert van de Geijn其他文献

Robert van de Geijn的其他文献

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{{ truncateString('Robert van de Geijn', 18)}}的其他基金

Collaborative Research: Frameworks: Beyond the BLAS: A framework for accelerating computational and data science
协作研究:框架:超越 BLAS:加速计算和数据科学的框架
  • 批准号:
    2003921
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
SHF: Small: Making Strassen's Algorithm Practical
SHF:小:使 Strassen 的算法变得实用
  • 批准号:
    1714091
  • 财政年份:
    2017
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: SI2-SSI: Sustaining Innovation in the Linear Algebra Software Stack for Computational Chemistry and Other Sciences
合作研究:SI2-SSI:计算化学和其他科学的线性代数软件堆栈的持续创新
  • 批准号:
    1550493
  • 财政年份:
    2016
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
SHF: Small: From Matrix Computations to Tensor Computations
SHF:小:从矩阵计算到张量计算
  • 批准号:
    1320112
  • 财政年份:
    2013
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: SI2-SSI: A Linear Algebra Software Infrastructure for Sustained Innovation in Computational Chemistry and other Sciences
合作研究:SI2-SSI:用于计算化学和其他科学持续创新的线性代数软件基础设施
  • 批准号:
    1148125
  • 财政年份:
    2012
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
SHF: Small:Transforming Linear Algebra Libraries
SHF:小型:转换线性代数库
  • 批准号:
    0917167
  • 财政年份:
    2009
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Mechanical Transformation of Knowledge to Libraries
协作研究:知识向图书馆的机械转化
  • 批准号:
    0850750
  • 财政年份:
    2009
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Foundations and Applications of Hierarchically stored Matrices
分层存储矩阵的基础和应用
  • 批准号:
    0702714
  • 财政年份:
    2007
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Continuing Grant
ST-CRTS: Foundations of Programming Linear Algebra Algorithms on SMP and Multicore Systems
ST-CRTS:SMP 和多核系统上的线性代数算法编程基础
  • 批准号:
    0540926
  • 财政年份:
    2006
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Automatic Tools for Deriving, Analyzing, and Implementing Linear Algebra Libraries
用于推导、分析和实现线性代数库的自动工具
  • 批准号:
    0342369
  • 财政年份:
    2004
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant

相似海外基金

CAREER: Theoretical and Computational Advances for Enabling Robust Numerical Guarantees in Linear and Mixed Integer Programming Solvers
职业:在线性和混合整数规划求解器中实现鲁棒数值保证的理论和计算进展
  • 批准号:
    2340527
  • 财政年份:
    2024
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Certifying Accuracy of Randomized Algorithms in Numerical Linear Algebra
DMS-EPSRC:验证数值线性代数中随机算法的准确性
  • 批准号:
    EP/Y030990/1
  • 财政年份:
    2024
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Research Grant
DMS-EPSRC:Certifying Accuracy of Randomized Algorithms in Numerical Linear Algebra
DMS-EPSRC:验证数值线性代数中随机算法的准确性
  • 批准号:
    2313434
  • 财政年份:
    2023
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Elements: A Cyberlaboratory for Randomized Numerical Linear Algebra
合作研究:Elements:随机数值线性代数网络实验室
  • 批准号:
    2309445
  • 财政年份:
    2023
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
RUI: The Non-Linear Universe: Precision Numerical Cosmology and Fundamental Physics
RUI:非线性宇宙:精确数值宇宙学和基础物理学
  • 批准号:
    2309919
  • 财政年份:
    2023
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Elements: A Cyberlaboratory for Randomized Numerical Linear Algebra
合作研究:Elements:随机数值线性代数网络实验室
  • 批准号:
    2309446
  • 财政年份:
    2023
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications
合作研究:大规模反演的随机数值线性代数、稀疏主成分分析及应用
  • 批准号:
    2152661
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications
合作研究:大规模反演的随机数值线性代数、稀疏主成分分析及应用
  • 批准号:
    2152704
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
Linear and nonlinear reduced models for the numerical approximation of high-dimensional functions
高维函数数值逼近的线性和非线性简化模型
  • 批准号:
    RGPIN-2021-04311
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications
合作研究:大规模反演的随机数值线性代数、稀疏主成分分析及应用
  • 批准号:
    2152687
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant
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