High-Performance Computing for SKA Transient Search: Use of FPGA based Accelerators -- a brief review
Abstract
This paper presents the High-Performance computing efforts with FPGA for the accelerated pulsar/transient search for the 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 100s 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 the power-performance efficiency of this emerging technology and presents potential future scenarios.
Keywords
Cite
@article{arxiv.2207.07054,
title = {High-Performance Computing for SKA Transient Search: Use of FPGA based Accelerators -- a brief review},
author = {R. Aafreen and R. Abhishek and B. Ajithkumar and Arunkumar M. Vaidyanathan and Indrajit. V. Barve and Sahana Bhattramakki and Shashank Bhat and B. S. Girish and Atul Ghalame and Y. Gupta and Harshal G. Hayatnagarkar and P. A. Kamini and A. Karastergiou and L. Levin and S. Madhavi and M. Mekhala and M. Mickaliger and V. Mugundhan and Arun Naidu and J. Oppermann and B. Arul Pandian and N. Patra and A. Raghunathan and Jayanta Roy and Shiv Sethi and Benjamin Shaw and K. Sherwin and O. Sinnen and S. K. Sinha and K. S. Srivani and B. Stappers and C. R. Subrahmanya and Thiagaraj Prabu and C. Vinutha and Y. G. Wadadekar and Haomiao Wang and C. Williams},
journal= {arXiv preprint arXiv:2207.07054},
year = {2023}
}
Comments
Accepted for publication in the JoAA special issue on SKA (2023)