F. Bedeschi, R. Cenci, P. Marino, M. Morello, G. Punzi, L. Ristori, F. Spinella, S. Stracka, J. Walsh
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引用次数: 0
摘要
我们提出了一项可行性研究的结果,在一个预先存在的读出系统框架内实施实时轨道重建,使用“人工视网膜”的方法。这是第一次尝试建立一个完整的中型原型(包括大约8万个逻辑元件,分布在几个单独的电路板上),并以极限速度连续运行。本研究强调逻辑架构、正确操作、大小和与标准读出框架的兼容性,以探索其作为传统读出系统附加组件的可用性。出于这个原因,我们选择了一个中等成本,中等速度的板,已经在现有HEP实验的数据采集中使用。我们的选择是NA62实验(TEL62)目前使用的读出板,每个读出板都配备了5个Altera Stratix III fpga和4 Gbit/s以太网接口。我们以两种不同的方式重新编程了板固件,使板表现为AR系统的两个主要模块(开关系统和蜂窝处理器群)。它们通过前面板进行接口,通过定制互连板反转其正常数据流路径,并在内部系统中开发连续馈送数据,以便以最大可达到的速度进行测试。我们报告了使用该原型执行的广泛测试的结果,并讨论了它们对“视网膜架构”对更快的定制开发的实时处理器的适用性的含义。
Real-time track reconstruction during readout using an artificial retina architecture
We present the results of a study of the feasibility of implementing real-time track reconstruction within the framework of a pre-existing readout system, using the “Artificial Retina” approach. This is the first attempt at building a complete medium-size prototype of this kind (comprising about 8M Logic Elements, distributed on several separate boards), operating it continuously at its limit speed. This study emphasizes logic architecture, correct operation, size, and compatibility with a standard readout framework, to explore its useability as an add-on to a conventional readout system. For this reason we have chosen for implementation a moderate-cost, moderate-speed board already in use in the data acquisition of an existing HEP experiment. Our choice fell on the readout boards currently in use by the NA62 experiment (TEL62), each equipped with 5 Altera Stratix III FPGAs and 4 Gbit/s ethernet interface. We have reprogrammed the board firmware in two different ways, to make the boards behave as the two main blocks of a AR system (switch system, and cellular processor farm). They are interfaced via the front panel, inverting their normal data flow path, by custom interconnection boards, and devoped in internal sytem for continuous feeding of data in order to test them at their maximum achievable speed. We report the results of extensive tests perfomed with this prototype, and discuss their implications regarding the applicability of the “retina architecture” to faster, and custom-developed real-time processors.