A High Performance Computing Architecture for Real-Time Digital Emulation of RF Interactions

  • Mandovi Mukherjee
  • , Nael Mizanur Rahman
  • , Coleman Delude
  • , Joseph Driscoll
  • , Uday Kamal
  • , Jongseok Woo
  • , Jamin Seo
  • , Sudarshan Sharma
  • , Xiangyu Mao
  • , Payman Behnam
  • , Sharjeel Khan
  • , Daehyun Kim
  • , Jianming Tong
  • , Prachi Sinha
  • , Santosh Pande
  • , Tushar Krishna
  • , Justin Romberg
  • , Madhavan Swaminathan
  • , Saibal Mukhopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A high performance architecture for emulating realtime radio frequency systems is presented. The architecture is developed based on a novel compute model and uses nearmemory techniques coupled with highly distributed autonomous control to simultaneously optimize throughput and minimize latency. A cycle level C++ based simulator is used to validate the proposed architecture with simulation of complex RF scenarios.

Original languageEnglish (US)
Title of host publicationRadarConf23 - 2023 IEEE Radar Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436694
DOIs
StatePublished - 2023
Event2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States
Duration: May 1 2023May 5 2023

Publication series

NameProceedings of the IEEE Radar Conference
Volume2023-May
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2023 IEEE Radar Conference, RadarConf23
Country/TerritoryUnited States
CitySan Antonia
Period5/1/235/5/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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