论文标题
下一代物理设施的触发和数据采集系统的创新
Innovations in trigger and data acquisition systems for next-generation physics facilities
论文作者
论文摘要
数据密集型物理设施越来越依赖于异质和大规模的数据处理和计算系统，以收集，分发，处理，过滤和分析不断增加的大量数据收集。此外，这些任务通常是在艰苦的实时或准实时处理管道中执行的，该管道对这些系统的各种参数和设计选择都具有极端约束。因此，在设计，构建和运营此类设施方面面临着许多挑战。在粒子物理学的能量和强度边界尤其如此，在粒子物理学的边界中，原始数据的带宽可能超过100 tb/s的异质，高维数据，这些数据来自300m+单个传感器。在这些设施中部署的数据过滤和压缩算法通常在$ 10^5 $中以1个部分的水平运行，并且一旦执行，这些算法就可以推动数据策划过程，进一步强调了这些系统在这些工作的物理影响中具有关键作用。这份白皮书旨在强调这些设施在触发和数据采集工具和系统的设计中所面临的挑战，以及它们的安装，调试，集成和操作，以及建立所需的域知识和技术专业知识。
Data-intensive physics facilities are increasingly reliant on heterogeneous and large-scale data processing and computational systems in order to collect, distribute, process, filter, and analyze the ever increasing huge volumes of data being collected. Moreover, these tasks are often performed in hard real-time or quasi real-time processing pipelines that place extreme constraints on various parameters and design choices for those systems. Consequently, a large number and variety of challenges are faced to design, construct, and operate such facilities. This is especially true at the energy and intensity frontiers of particle physics where bandwidths of raw data can exceed 100 TB/s of heterogeneous, high-dimensional data sourced from 300M+ individual sensors. Data filtering and compression algorithms deployed at these facilities often operate at the level of 1 part in $10^5$, and once executed, these algorithms drive the data curation process, further highlighting the critical roles that these systems have in the physics impact of those endeavors. This White Paper aims to highlight the challenges that these facilities face in the design of the trigger and data acquisition instrumentation and systems, as well as in their installation, commissioning, integration and operation, and in building the domain knowledge and technical expertise required to do so.
