Lei Zhang;Junfeng Yang;Zhengyang Sun;Jinrui Zeng;Ke Sun;Yi Li
{"title":"D-Matrix: FPGA-Based Solutions for General Stream Processing in High-Energy Physics Experiments","authors":"Lei Zhang;Junfeng Yang;Zhengyang Sun;Jinrui Zeng;Ke Sun;Yi Li","doi":"10.1109/TNS.2024.3467107","DOIUrl":null,"url":null,"abstract":"The data acquisition system plays an increasingly important role in high-energy physics experiments. The expansion of the experimental scale requires the data acquisition system to have enhanced online data processing capabilities. The D-Matrix system is designed as a general distributed stream processing platform, aiming to make more use of heterogeneous computing units, such as FPGA, for suitable online data processing to optimize both processing speed and latency. In the D-Matrix system, to facilitate the design of various data processing modules in high-energy physics experiments, we abstract the concepts of basic patterns and derived modules. Based on these concepts, the D-Matrix system is designed with a series of generic data stream processing modules to accomplish various complex data processing by cascading these generic modules. This article introduces the existing base patterns and derives stream processing modules in the D-Matrix system based on FPGA-based hardware and also describes the implementation of these modules in the CSR External-target Experiment (CEE).","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":"71 10","pages":"2209-2218"},"PeriodicalIF":1.9000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Nuclear Science","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10689676/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The data acquisition system plays an increasingly important role in high-energy physics experiments. The expansion of the experimental scale requires the data acquisition system to have enhanced online data processing capabilities. The D-Matrix system is designed as a general distributed stream processing platform, aiming to make more use of heterogeneous computing units, such as FPGA, for suitable online data processing to optimize both processing speed and latency. In the D-Matrix system, to facilitate the design of various data processing modules in high-energy physics experiments, we abstract the concepts of basic patterns and derived modules. Based on these concepts, the D-Matrix system is designed with a series of generic data stream processing modules to accomplish various complex data processing by cascading these generic modules. This article introduces the existing base patterns and derives stream processing modules in the D-Matrix system based on FPGA-based hardware and also describes the implementation of these modules in the CSR External-target Experiment (CEE).
期刊介绍:
The IEEE Transactions on Nuclear Science is a publication of the IEEE Nuclear and Plasma Sciences Society. It is viewed as the primary source of technical information in many of the areas it covers. As judged by JCR impact factor, TNS consistently ranks in the top five journals in the category of Nuclear Science & Technology. It has one of the higher immediacy indices, indicating that the information it publishes is viewed as timely, and has a relatively long citation half-life, indicating that the published information also is viewed as valuable for a number of years.
The IEEE Transactions on Nuclear Science is published bimonthly. Its scope includes all aspects of the theory and application of nuclear science and engineering. It focuses on instrumentation for the detection and measurement of ionizing radiation; particle accelerators and their controls; nuclear medicine and its application; effects of radiation on materials, components, and systems; reactor instrumentation and controls; and measurement of radiation in space.