课题基金 / 基金详情

II-NEW: Shared High Performance Data Center

II-NEW: Shared High Performance Data Center
II-新:共享高性能数据中心
批准号:
1305302
负责人:
Yijuan Lu
金额:
$37.58万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2018-09-30

项目摘要

项目成果

Yijuan Lu的其他基金

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中文摘要
翻译
数据的创建、管理和访问是推动计算机科学发展的关键。目前,社交网络、Web挖掘、多媒体检索、高性能计算等领域的许多研究和教育活动都需要涉及大数据。然而,德克萨斯州立大学计算机系现有的基础设施远远落后于其日益增长的研究和教育需求。该项目建立了一个共享的高性能数据中心,为收集、处理和管理海量数据提供基础设施。新的数据中心提供必要的计算能力和存储,以支持部门内外在计算机视觉、无线网络、信息检索、数据挖掘、人机交互、软件工程、高性能计算和安全领域的新研究和技术的探索和开发。该数据中心还支持高质量的本科生和研究生研究体验,实现研究和教育的融合,鼓励跨部门和跨大学合作,并促进计算机科学系博士项目的发展。已开发的基础设施将显著增强系、大学和社区目前的研究和教育能力。
英文摘要
The creation, management, and access of data is key to the advancement of the state-of-the-art in computer science. Currently many research and educational activities in social network, web mining, multimedia retrieval, and high performance computing, just to name a few, need to involve big data. However, existing infrastructure of the Computer Science Department at Texas State University falls far behind its increasing research and educational needs.This project builds a shared high-performance data center, providing the fundamental facilities to collect, process, and manage large volumes of data. The new data center supplies the necessary computational power and storage to support the exploration and development of new research and technologies within and beyond the department in the fields of computer vision, wireless network, information retrieval, data mining, human computer interaction, software engineering, high performance computing, and security. The data center also supports quality undergraduate and graduate student research experience, enables the integration of research and education, encourages inter-departmental and cross-university collaborations, and promotes the Ph.D. program development in the Computer Science Department. The developed infrastructure will significantly enhance the current research and educational capabilities of the department, university, and community.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/igcc.2017.8323574
发表时间: 2017
期刊: 2017 Eighth International Green and Sustainable Computing Conference (IGSC
影响因子: --
作者: [Qasem, Apan, Teich, Samuel]
通讯作者: Teich, Samuel
Automatically Selecting Profitable Thread Block Sizes for Accelerated Kernels
自动为加速内核选择有利可图的线程块大小
DOI: 10.1109/hpcc-smartcity-dss.2017.58
发表时间: 2017
期刊: IEEE 19th International Conference on High Performance Computing and Communications;
影响因子: --
作者: [Connors, Tiffany A., Qasem, Apan]
通讯作者: Qasem, Apan
A Machine Learning Approach to Automatic Creation of Architecture-Sensitive Performance Heuristics
自动创建架构敏感的性能启发式的机器学习方法
DOI: 10.1109/hpcc-smartcity-dss.2017.3
发表时间: 2017
期刊: IEEE 19th International Conference on High Performance Computing and Communications;
影响因子: --
作者: [Saha, Biplab Kumar, Connors, Tiffany A., Rahman, Saami, Qasem, Apan]
通讯作者: Qasem, Apan
II-NEW: Shared High Performance Data Center
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