Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E77-B No.10 pp.1264-1271
- Publication Date
- 1994/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Electronic and Radio Applications
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Antonio d'ACIERNO, Michele CECCARELLI, Alfonso FARINA, Alfredo PETROSINO, Luca TIMMONERI, "Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications" in IEICE TRANSACTIONS on Communications,
vol. E77-B, no. 10, pp. 1264-1271, October 1994, doi: .
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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e77-b_10_1264/_p
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@ARTICLE{e77-b_10_1264,
author={Antonio d'ACIERNO, Michele CECCARELLI, Alfonso FARINA, Alfredo PETROSINO, Luca TIMMONERI, },
journal={IEICE TRANSACTIONS on Communications},
title={Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications},
year={1994},
volume={E77-B},
number={10},
pages={1264-1271},
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.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications
T2 - IEICE TRANSACTIONS on Communications
SP - 1264
EP - 1271
AU - Antonio d'ACIERNO
AU - Michele CECCARELLI
AU - Alfonso FARINA
AU - Alfredo PETROSINO
AU - Luca TIMMONERI
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E77-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 1994
AB - 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.
ER -
English
