Trigger Algorithm Development on FPGA-based Compute Nodes

被引:0
|
作者
Liu, Ming [1 ,2 ]
Jantsch, Axel [2 ]
Jin, Dapeng [3 ]
Kopp, Andreas [1 ]
Kuehn, Wolfgang [1 ]
Lang, Johannes [1 ]
Li, Lu [3 ]
Lange, Soeren [1 ]
Liu, Zhen'an [3 ]
Lu, Zhonghai [2 ]
Muenchow, David [1 ]
Pechenov, Vladimir [1 ]
Roskoss, Johannes [1 ]
Spataro, Stephano [1 ]
Wang, Qiang [1 ,3 ]
Xu, Hao [3 ]
机构
[1] Univ Giessen, Inst Phys 2, Heinrich Buff Ring 16, D-35392 Giessen, Germany
[2] Royal Inst Technol, Dept Elect Comp & Software Syst, Stockholm, Sweden
[3] Inst High Energy Phys, Expt Phys Ctr, Beijing, Peoples R China
关键词
D O I
10.1109/RTC.2009.5321547
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the ATCA computation architecture and Compute Nodes (CN), investigation and implementation work has been being executed for HADES and PANDA trigger algorithms. We present our designs for HADES track reconstruction processing, Cherenkov ring recognition, Time-Of-Flight processing, electromagnetic shower recognition.. and the PANDA straw tube tracking algorithm. They will appear as co-processors in the uniform system design to undertake the detector-specific computing. The algorithm principles will be explained and hardware designs are described in the paper. The current progress reveals the feasibility to implement these algorithms on FPGAs. Also experimental results demonstrate the performance speedup when compared to alternative software solutions, as well as the potential capability of high-speed parallel/pipelined processing in Data Acquisition and Trigger systems.
引用
收藏
页码:478 / +
页数:2
相关论文
共 50 条
  • [41] FPGA-based Implementation of HOG Algorithm: Techniques and Challenges
    Ghaffari, Sina
    Soleimani, Parastoo
    Li, Kin Fun
    Capson, David
    [J]. 2019 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), 2019,
  • [42] Research and Application of a FPGA-Based Dynamic Distributed Algorithm
    Ren, WeiZheng
    Gao, Ying
    Cui, YanSong
    [J]. INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 1696 - 1700
  • [43] FPGA-Based Parallel Hardware Architecture For SIFT Algorithm
    Peng, J. Q.
    Liu, Y. H.
    Lyu, C. Y.
    Li, Y. H.
    Zhou, W. G.
    Fan, K.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2016, : 277 - 282
  • [44] The Florence Trigger-Box (FTB) p roject: An FPGA-based configurable and scalable trigger system
    Ottanelli, P.
    Pasquali, G.
    Baldesi, L.
    Barlini, S.
    Bolzonella, R.
    Camaiani, A.
    Casini, G.
    Ciampi, C.
    Marchi, T.
    Piantelli, S.
    Valdre, S.
    Verde, G.
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2021, 1015
  • [45] An Efficient FPGA-Based Memory Architecture for Compute-Intensive Applications on Embedded Devices
    Shahrouzi, S. Navid
    Perera, Darshika G.
    [J]. 2017 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), 2017,
  • [46] Development of a resource-efficient FPGA-based neural network regression model for the ATLAS muon trigger upgrades
    Ospanov, Rustem
    Feng, Changqing
    Dong, Wenhao
    Feng, Wenhao
    Zhang, Kan
    Yang, Shining
    [J]. EUROPEAN PHYSICAL JOURNAL C, 2022, 82 (06):
  • [47] Development of a resource-efficient FPGA-based neural network regression model for the ATLAS muon trigger upgrades
    Rustem Ospanov
    Changqing Feng
    Wenhao Dong
    Wenhao Feng
    Kan Zhang
    Shining Yang
    [J]. The European Physical Journal C, 82
  • [48] An FPGA-based trigger system for the search of μ+ → e+ + γ decay in the MEG experiment
    Galli, L.
    Cei, F.
    Galeotti, S.
    Magazzu, C.
    Morsani, F.
    Nicolo, D.
    Signorelli, G.
    Grassi, M.
    [J]. JOURNAL OF INSTRUMENTATION, 2013, 8
  • [49] FPGA-based fast track reconstruction for the conceptual design of STCF MDC trigger
    Dong, W.
    Feng, C.
    Hao, Y.
    Zhou, H.
    Zhang, E.
    Liu, S.
    [J]. JOURNAL OF INSTRUMENTATION, 2022, 17 (10)
  • [50] FPGA-based wireless sensor nodes for vibration monitoring system and fault diagnosis
    Bengherbia, Billel
    Zmirli, Mohamed Ould
    Toubal, Abdelmoghni
    Guessoum, Abderrezak
    [J]. MEASUREMENT, 2017, 101 : 81 - 92