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The 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016; October 10-14, 2016 in Marriott Marquis, San Francisco

The 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016; October 10-14, 2016 in Marriott Marquis, San Francisco
第22届高能与核物理计算国际会议,CHEP 2016;
批准号:
1643098
负责人:
Lauren Tompkins
金额:
$1.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2017-07-31

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中文摘要
翻译
该项目将允许部分支持学生参加第22届国际会议计算在高能和核物理,CHEP 2016年,将在旧金山弗朗西斯科,2016年10月10日至14日举行。CHEP是一个全球性的会议,来自世界各地顶尖大学和实验室的物理,计算和大规模数据分析领导者参加。CHEP的演讲者将解决世界领先的数据密集型科学实验在计算,网络和软件方面的挑战。学生参加这次会议对于培训目的和未来的劳动力发展活动非常重要。CHEP 2016由斯坦福大学、SLAC国家加速器实验室(SLAC)和劳伦斯伯克利国家实验室(LBNL)联合举办。预计将有大约600名计算专家和科学家参加CHEP 2016,来自CERN,Fermilab和其他主要实验设施的科学计划的大力参与。CHEP 2016将利用这种环境来强调高能和核物理与数据密集型天文学,X射线科学和计算科学之间与计算相关的联系日益重要。该计划涵盖广泛的主题,包括触发器,数据采集和控制系统,重建和数据分析算法,数据处理工作流程和计算模型,人工智能,网络系统和安全,以及许多其他主题。
英文摘要
This project will allow for partial support for students participating in the 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, that will be held in San Francisco, October 10-14, 2016. CHEP is a global conference with participation by leaders in physics, computing, and large-scale data analysis from the top universities and laboratories around the world. The CHEP speakers will address challenges in computing, networking and software for the world's leading data-intensive science experiments. The participation of students in this conference is important for training purposes and future workforce development activities. CHEP 2016 is organized jointly by Stanford University, SLAC National Accelerator Laboratory (SLAC) and Lawrence Berkeley National Laboratory (LBNL). Approximately 600 computing experts and scientists are expected to attend CHEP 2016 with strong participation from the science programs at CERN, Fermilab and other major experimental facilities. CHEP 2016 will exploit this environment to stress the increasing importance of the computing-related connections between high-energy and nuclear physics and data-intensive astronomy, X-ray science and computational science. The program spans a wide range of subjects including trigger, data acquisition and control systems, reconstruction and data analysis algorithms, data processing workflows and computing models, artificial intelligence, network systems and security, and many additional topics.
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