High-performance computing for SKA transient search: Use of FPGA-based accelerators

High-performance computing for SKA transient search: Use of FPGA-based accelerators
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SKA 瞬态搜索的高性能计算:使用基于 FPGA 的加速器

DOI:
10.1007/s12036-022-09896-7
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发表时间:
2023
影响因子:
1.1
通讯作者:
Aafreen R
Aafreen R
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
Aafreen R

文献摘要

相似文献

本文介绍了高性能计算的努力与FPGA的加速脉冲星/瞬态搜索平方公里阵列(SKA)。案例研究是从SKA和探路者望远镜内部提出的,突出了未来的机会。它回顾了从无线电望远镜数据的离线处理转变为在巨大带宽上数字化数百/数千个天线输出,形成数百个波束,并在SKA实时脉冲星搜索管道中处理数据的情况。简要介绍了加速器的不同架构,主要是新一代基于现场可编程门阵列的加速器,显示了它们在实现高性能计算和处理SKA的巨大数据量问题方面的关键作用。它还介绍了这种新兴技术的功率性能效率,并提出了潜在的未来场景。
This paper presents high-performance computing efforts with FPGA for the accelerated pulsar/transient search for the square kilometre array (SKA). Case studies are presented from within SKA and pathfinder telescopes highlighting future opportunities. It reviews the scenario that has shifted from offline processing of the radio telescope data to digitizing several hundreds/thousands of antenna outputs over huge bandwidths, forming several hundreds of beams, and processing the data in the SKA real-time pulsar search pipelines. A brief account of the different architectures of the accelerators, primarily, the new generation field programmable gate array-based accelerators, showing their critical roles to achieve high-performance computing and in handling the enormous data volume problems of the SKA is presented here. It also presents power-performance efficiency of this emerging technology and presents potential future scenarios.