Title:	High-performance computing for SKA transient search: Use of FPGA-based accelerators
Authors:	Aafreen, R. Abhishek, R. Ajithkumar, B. Vaidyanathan, Arunkumar M. Barve, Indrajit V. Bhattramakki, Sahana Bhat, Shashank Girish, B.S. Ghalame, Atul Gupta, Y. Hayatnagarkar, Harshal G. Kamini, P.A. Karastergiou, A. Levin, L. Madhavi, S. Mekhala, M. Mickaliger, M. Mugundhan, V. Naidu, Arun Oppermann, J. Arul Pandian, B. Patra, N. Raghunathan, A. Roy, Jayanta Sethi, Shiv Shaw, B. Sherwin, K. Sinnen, O. Sinha, S.K. Srivani, K.S. Stappers, B. Subrahmanya, C.R. Prabu, Thiagaraj Vinutha, C. Wadadekar, Y.G. Wang, Haomiao Williams, C.
Keywords:	instrumentation and methods for astrophysics
Issue Date:	9-Feb-2023
Publisher:	Indian Academy of Sciences
Citation:	Journal of Astrophysics and Astronomy, 2023, Vol.11, p11
Abstract:	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.
Description:	Open Access
URI:	http://hdl.handle.net/2289/8048
ISSN:	0250-6335 0973-7758 (Online)
Alternative Location:	https://arxiv.org/abs/2207.07054 https://ui.adsabs.harvard.edu/abs/2022arXiv220707054A/abstract
Copyright:	2023 Indian Academy of Sciences, Bengaluru
Appears in Collections:	Research Papers(EEG)

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