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A Scalable Correlator Architecture Based on Modular FPGA Hardware, Reuseable Gateware, and Data Packetization

机译:基于模块化FPGA硬件,可重用网关软件和数据打包的可扩展相关器架构

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A new generation of radio telescopes is achieving unprecedented levels of sensitivity and resolution, as well as increased agility and field of view, by employing high-performance digital signal-processing hardware to phase and correlate signals from large numbers of antennas. The computational demands of these imaging systems scale in proportion to BMN2, where B is the signal bandwidth, M is the number of independent beams, and N is the number of antennas. The specifications of many new arrays lead to demands in excess of tens of PetaOps per second. To meet this challenge, we have developed a general-purpose correlator architecture using standard 10-Gbit Ethernet switches to pass data between flexible hardware modules containing Field Programmable Gate Array (FPGA) chips. These chips are programmed using open-source signal-processing libraries that we have developed to be flexible, scalable, and chip-independent. This work reduces the time and cost of implementing a wide range of signal-processing systems, with correlators foremost among them, and facilitates upgrading to new generations of processing technology. We present several correlator deployments, including a 16-antenna, 200-MHz bandwidth, 4-bit, full-Stokes parameter application deployed on the Precision Array for Probing the Epoch of Reionization.
机译:新一代射电望远镜通过采用高性能数字信号处理硬件对来自大量天线的信号进行相位和相关处理,从而实现了前所未有的灵敏度和分辨率,并提高了灵活性和视野。这些成像系统的计算需求与BMN2成比例,其中B是信号带宽,M是独立波束的数量,N是天线的数量。许多新阵列的规格导致每秒需求超过数十个PetaOps。为了应对这一挑战,我们开发了一种通用的相关器架构,该架构使用标准的10 Gb以太网交换机在包含现场可编程门阵列(FPGA)芯片的灵活硬件模块之间传递数据。这些芯片是使用开源信号处理库进行编程的,我们已经开发了这些开源库来灵活,可扩展且独立于芯片。这项工作减少了实施多种信号处理系统的时间和成本,其中最重要的是相关器,并有助于升级到新一代处理技术。我们介绍了几种相关器部署,包括在精密阵列上部署的16天线,200 MHz带宽,4位全Stokes参数应用程序,以探测电离时代。

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