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

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
批准号:
1000622
负责人:
Robert van de Geijn
金额:
$2.4万
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
项目状态:
已结题
起止时间:
2010-01-15 至 2010-12-31

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中文摘要
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英文摘要
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.
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Collaborative Research: Frameworks: Beyond the BLAS: A framework for accelerating computational and data science
  • 批准号:
    2003921
  • 项目类别:
    Standard Grant
  • 资助金额:
    $81.27万
  • 财政年份:
    2020
  • 负责人:
    Robert van de Geijn
  • 依托单位:
SHF: Small: Making Strassen's Algorithm Practical
  • 批准号:
    1714091
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.59万
  • 财政年份:
    2017
  • 负责人:
    Robert van de Geijn
  • 依托单位:
Collaborative Research: SI2-SSI: Sustaining Innovation in the Linear Algebra Software Stack for Computational Chemistry and Other Sciences
  • 批准号:
    1550493
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.1万
  • 财政年份:
    2016
  • 负责人:
    Robert van de Geijn
  • 依托单位:
SHF: Small: From Matrix Computations to Tensor Computations
  • 批准号:
    1320112
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.8万
  • 财政年份:
    2013
  • 负责人:
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  • 依托单位:
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