gpu在NA62实验中的实时使用

G. Collazuol, V. Innocente, G. Lamanna, F. Pantaleo, M. Sozzi
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引用次数: 6

摘要

我们描述了在CERN NA62实验的早期触发阶段,在实时触发应用中使用gpu的试点项目,以及第一次现场测试的结果以及一个原型数据采集(DAQ)系统。NA62中的这个试点项目旨在将gpu集成到中央L0触发处理器中,并将它们用作计算触发原语的快速在线处理器。几个配备tdc的亚纳秒时间分辨率的子探测器将参与一级NA62触发器(L0),与数据采集系统完全集成,使用在几ns的时间框架内异步计算的多重信息,将所有子探测器的读出率降低到1 MHz,包括正子探测器和反子探测器。gpu的在线使用将允许在第一个触发级别上计算更复杂的触发原语。我们描述了所提议系统的架构,重点是测量用于解决这些高能物理问题的各种方法的性能(吞吐量和延迟)。讨论了这一有前途的想法所面临的挑战和前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time use of GPUs in NA62 experiment
We describe a pilot project for the use of GPUs in a real-time triggering application in the early trigger stages at the CERN NA62 experiment, and the results of the first field tests together with a prototype data acquisition (DAQ) system. This pilot project within NA62 aims at integrating GPUs into the central L0 trigger processor, and also to use them as fast online processors for computing trigger primitives. Several TDC-equipped sub-detectors with sub-nanosecond time resolution will participate in the first-level NA62 trigger (L0), fully integrated with the data-acquisition system, to reduce the readout rate of all sub-detectors to 1 MHz, using multiplicity information asynchronously computed over time frames of a few ns, both for positive sub-detectors and for vetos. The online use of GPUs would allow the computation of more complex trigger primitives already at this first trigger level. We describe the architectures of the proposed systems, focusing on measuring the performance (both throughput and latency) of various approaches meant to solve these high energy physics problems. The challenges and the prospects of this promising idea are discussed.
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