Conveners
大数据处理与分析
- Shengsen Sun (Institute of High Energy Physics)
大数据处理与分析
- Haijun Yang (Shanghai Jiao Tong University (CN))
本报告基于上海交大校级超算平台的实践经验，介绍国产鲲鹏超算平台的部署、优化、应用案例，展示鲲鹏生态在复杂计算任务中的卓越表现，以及2024年与华为成立鲲鹏昇腾科教创新卓越中心后，致力于人才培养与生态推广的愿景。
The High Energy cosmic-Radiation Detection (HERD) facility is scheduled to operate on Chinese Space Station (CSS) since 2027 for about 10 years. With the high accuracy silicon charge detector (SCD) and silicon tungsten detector (STK) forming a compact 5 side sensitive detection, HERD is capable to provide trajectory measurement of cosmic-rays. A cellular based track reconstruction algorithm is...
Machine learning (ML) has become a transformative tool in high energy physics. In this talk, I will demonstrate how high energy physics problems can be reframed as ML tasks, and highlight the application of ML techniques to enhance particle reconstruction and identification, particularly at the Large Hadron Collider (LHC). Additionally, I will discuss unsupervised ML methods for calorimeter...
The current Upgrade I data-taking of the LHCb experiment uses a fully software trigger to perform a real-time analysis of LHCb detector data at an input rate of 5TB/s which corresponds to an event rate of 30MHz. This trigger is implemented in two stages. The High Level Trigger 1 (HLT1) performs a partial but high throughput reconstruction on GPUs to inclusively select events. The HLT2 then...
