Mapping QR decomposition on parallel computers: a study case for radar applications

Antonio d'Acierno, Michele Ceccarelli, Alfonso Farina, Alfredo Petrosino, Luca Timmoneri

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The sidelobe canceler in radar systems is a highly computational demanding problem. It can be efficiently tackled by resorting to the QR decomposition mapped onto a systolic array processor. The paper reports several mapping strategies by using massive parallel computers available on the market. MIMD as well as SIMD machines have been used, specifically MEIKO Computing Surface, nCUBE2, Connection Machine CM-200, and MasPar MP-1. The achieved data throughput values have been measured for a number of operational situations of practical interest.

Original languageEnglish
Pages (from-to)1264-1271
Number of pages8
JournalIEICE Transactions on Communications
VolumeE77-B
Issue number10
Publication statusPublished - 1 Oct 1994
Externally publishedYes

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

d'Acierno, A., Ceccarelli, M., Farina, A., Petrosino, A., & Timmoneri, L. (1994). Mapping QR decomposition on parallel computers: a study case for radar applications. IEICE Transactions on Communications, E77-B(10), 1264-1271.