第一届高能物理计算用户研讨会

Session

高能物理数据处理

20 May 2024, 11:10

Conveners

高能物理数据处理

• Ye YUAN (高能所)

高能物理数据处理: 高能物理数据处理

• Yiming 一鸣 Li 李 (IHEP)

高能物理数据处理

• Yiming 一鸣 Li 李 (IHEP)

高能物理数据处理

• 梁志均 LIANG Zhijun ()

Contribution list Timetable

5. 高能物理实验中央数据库管理系统

Qiumei MA (高能所)

20/05/2024, 11:10

数据库管理系统是一种强大的工具，用于有效地管理和组织数据，提供了对数据的安全性、一致性和高效访问的支持。本报告将会分别介绍BESIII、大亚湾、江门等实验的中央数据库管理系统的设计方案、实现路线、部署方式、运行中遇到问题的解决以及未来展望。

2. Offline Data Processing System of the BESIII Experiment

Ziyan Deng (高能所)

20/05/2024, 11:35

The BESIII experiment has been operatingsince 2009 and received several upgrades, to study the tau-charm physics utilizing the BEPCII accelerator. The BEPCII colllider is a double-ring multi-bunch collider. The rich physics topics, long life time and the large amount of data present challenges to offline data processing. This talk describes the design strategy and implementation of offline...

3. 基于SNiPER的JUNO离线软件并行化

Jiaheng Zou (高能所)

20/05/2024, 12:00

JUNO实验离线软件（junosw）基于SNiPER框架进行开发。而MT-SNiPER则从框架层扩展了对多线程的支持，其为junosw的事例级并行化带来很大便利。在前不久完成的首轮JUNO data challenge (DC-1)任务中，junosw全链条数据处理软件功能得到验证。同时，通过DC-1中大量的4线程重建作业，MT-SNiPER的可靠性也得到检验。不过，在junosw的muon事例模拟和在线波形重建等算法中，对更细粒度的事例内并行也有强烈需求。为此，我们重构了SNiPER框架中对多线程支持的顶层架构和核心逻辑，实现了对事例级和事例内多层级混合并行的支持。新的软件架构能够兼容现有的junosw软件，且提供了面向算法的友好的事例内并行开发接口。将事例内并行应用于波形重建算法后，在初步测试中得到了很有吸引力的结果。

35. JUNO distributed computing

晓梅 张 (高能所)

20/05/2024, 14:00

The Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose neutrino experiment and the determination of the neutrino mass hierarchy is its primary physics goal. JUNO is going to take data in 2024 with 2PB raw data each year and use distributed computing infrastructure for simulation, reconstruction and analysis tasks. The JUNO distributed computing system has been built up based on...

29. Status of CEPC software and consideration on computing

Dr Gang LI (高能所)

20/05/2024, 14:25

The talk will cover the recent developments and current status of the new software from CEPC, as well as the consideration of computing.

7. Data flow and processing at LHCb

赞 任 (Tsinghua University)

20/05/2024, 14:50

The Large Hadron Collider beauty (LHCb) experiment at CERN is dedicated to exploring CP violation, b-hadron physics, physics beyond the Standard Model, and various other research areas. LHCb relies on intricate data flow mechanisms and distributed computing systems to handle the massive amounts of data produced from proton-proton collisions. This presentation provides an overview of the data...

39. CMS合作组用户报告

UNKNOWN 王储 (IHEP)

20/05/2024, 15:45

介绍CMS合作组内的计算情况、常用的工具和遇到的问题

46. 大型强子对撞机上ATLAS实验的computing

梁志均 LIANG Zhijun

21/05/2024, 14:00

该报告对大型强子对撞机上ATLAS实验的computing进行综述