论文标题
基于FPGA的实时数据处理，用于加速LHCB的重建
FPGA-based real-time data processing for accelerating reconstruction at LHCb
论文作者
论文摘要
在2022年开始的Run-3中，LHCB软件触发器将开始以LHC平均越过30 MHz的平均越过事件重建事件。在升级的DAQ系统中，LHCB建立了一个用于实时事件重建的新的异质计算解决方案的测试床，鉴于未来运行量以更高的亮度运行。一种这样的解决方案是一个高度平行的自定义跟踪处理器（“人造视网膜”），该处理器以通过快速串行链路连接的最先进的FPGA设备实现。我们描述了一个现实原型的状态，用于重建像素跟踪检测器，该检测器将在Run-3期间在实际数据上运行。
In Run-3, beginning in 2022, the LHCb software trigger will start reconstructing events at the LHC average crossing rate of 30 MHz. Within the upgraded DAQ system, LHCb established a testbed for new heterogeneous computing solutions for real-time event reconstruction, in view of future runs at even higher luminosities. One such solution is a highly-parallelized custom tracking processor ("Artificial Retina"), implemented in state of the art FPGA devices connected by fast serial links. We describe the status of a realistic prototype for the reconstruction of pixel tracking detectors that will run on real data during Run-3.
