SGER: Investigating Application Analysis and Design Methodologies for Computational Accelerators

SGER:研究计算加速器的应用分析和设计方法

基本信息

项目摘要

Intellectual Merit This project will aid in the understanding of advanced computing architectures, characterize the interplay between scientific applications and the hardware, and result in the development of formal methods, tools and techniques for implementing applications on advanced architectures.Broader ImpactThe project will enable scientists to effectively use new computing technologies to increase their ability to carry out their own computational science; foster research, education, training, and industrial collaboration on next-generation cyber-resource architectures; educate the scientific applications community, researchers, and students on the use of next-generation architectures; and assist the computational science community to implement applications that enable new science by employing next-generation cyber-resources.
本项目将有助于理解先进的计算结构,描述科学应用和硬件之间的相互作用,并导致开发在先进结构上实现应用的正式方法、工具和技术。促进下一代网络资源架构的研究、教育、培训和工业合作;教育科学应用社区、研究人员和学生使用下一代架构;协助计算科学社区实施应用程序,通过使用下一代网络资源实现新科学。

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)

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Volodymyr Kindratenko其他文献

Enabling real-time multi-messenger astrophysics discoveries with deep learning
利用深度学习实现实时多信使天体物理学发现
  • DOI:
    10.1038/s42254-019-0097-4
  • 发表时间:
    2019-10-03
  • 期刊:
  • 影响因子:
    39.500
  • 作者:
    E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis;Etienne Bachelet;G. Bruce Berriman;Federica B. Bianco;Rahul Biswas;Matias Carrasco Kind;Kyle Chard;Minsik Cho;Philip S. Cowperthwaite;Zachariah B. Etienne;Maya Fishbach;Francisco Forster;Daniel George;Tom Gibbs;Matthew Graham;William Gropp;Robert Gruendl;Anushri Gupta;Roland Haas;Sarah Habib;Elise Jennings;Margaret W. G. Johnson;Erik Katsavounidis;Daniel S. Katz;Asad Khan;Volodymyr Kindratenko;William T. C. Kramer;Xin Liu;Ashish Mahabal;Zsuzsa Marka;Kenton McHenry;J. M. Miller;Claudia Moreno;M. S. Neubauer;Steve Oberlin;Alexander R. Olivas;Donald Petravick;Adam Rebei;Shawn Rosofsky;Milton Ruiz;Aaron Saxton;Bernard F. Schutz;Alex Schwing;Ed Seidel;Stuart L. Shapiro;Hongyu Shen;Yue Shen;Leo P. Singer;Brigitta M. Sipocz;Lunan Sun;John Towns;Antonios Tsokaros;Wei Wei;Jack Wells;Timothy J. Williams;Jinjun Xiong;Zhizhen Zhao
  • 通讯作者:
    Zhizhen Zhao
INSTRAS: INfrared Spectroscopic imaging-based TRAnsformers for medical image Segmentation
  • DOI:
    10.1016/j.mlwa.2024.100549
  • 发表时间:
    2024-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hangzheng Lin;Kianoush Falahkheirkhah;Volodymyr Kindratenko;Rohit Bhargava
  • 通讯作者:
    Rohit Bhargava

Volodymyr Kindratenko的其他文献

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{{ truncateString('Volodymyr Kindratenko', 18)}}的其他基金

Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
协作研究:框架:hpcGPT:通过 HPC 丰富的生成式 AI 增强计算中心用户支持
  • 批准号:
    2411295
  • 财政年份:
    2024
  • 资助金额:
    $ 16.62万
  • 项目类别:
    Standard Grant
Collaborative Research: Frameworks: Diamond: Democratizing Large Neural Network Model Training for Science
合作研究:框架:钻石:科学大型神经网络模型训练的民主化
  • 批准号:
    2311768
  • 财政年份:
    2023
  • 资助金额:
    $ 16.62万
  • 项目类别:
    Standard Grant
REU Site: The future of discovery: training students to build and apply open source machine learning models and tools
REU 网站:发现的未来:培训学生构建和应用开源机器学习模型和工具
  • 批准号:
    2050195
  • 财政年份:
    2021
  • 资助金额:
    $ 16.62万
  • 项目类别:
    Standard Grant
Collaborative Research: Frameworks: Machine learning and FPGA computing for real-time applications in big-data physics experiments
合作研究:框架:大数据物理实验中实时应用的机器学习和 FPGA 计算
  • 批准号:
    1931561
  • 财政年份:
    2019
  • 资助金额:
    $ 16.62万
  • 项目类别:
    Standard Grant
Geoscience Applications on Petascale Systems: Requirements Workshops; Early in August-2005 for a 4-6 Weeks Period
Petascale 系统上的地球科学应用:需求研讨会;
  • 批准号:
    0540688
  • 财政年份:
    2005
  • 资助金额:
    $ 16.62万
  • 项目类别:
    Standard Grant

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