Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 2017 27th International Conference on Field Programmable Logic and Applications (FPL) |
Herausgeber/-innen | Diana Gohringer, Dirk Stroobandt, Nele Mentens, Marco Santambrogio, Jari Nurmi |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
ISBN (elektronisch) | 9789090304281 |
Publikationsstatus | Veröffentlicht - 2017 |
Veranstaltung | 27th International Conference on Field Programmable Logic and Applications, FPL 2017 - Gent, Belgien Dauer: 4 Sept. 2017 → 6 Sept. 2017 |
Publikationsreihe
Name | International Conference on Field-programmable Logic and Applications |
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Abstract
Implementing convolutional neural networks for scene labelling is a current hot topic in the field of advanced driver assistance systems. The massive computational demands under hard real-time and energy constraints can only be tackled using specialized architectures. Also, cost-effectiveness is an important factor when targeting lower quantities. In this PhD thesis, a vector processor architecture optimized for FPGA devices is proposed. Amongst other hardware mechanisms, a novel complex operand addressing mode and an intelligent DMA are used to increase perfromance. Also, a C-compiler support for creating applications is introduced.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Hardware und Architektur
- Informatik (insg.)
- Software
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- BibTex
- RIS
2017 27th International Conference on Field Programmable Logic and Applications (FPL). Hrsg. / Diana Gohringer; Dirk Stroobandt; Nele Mentens; Marco Santambrogio; Jari Nurmi. Institute of Electrical and Electronics Engineers Inc., 2017. 8056836 (International Conference on Field-programmable Logic and Applications).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Application-specific soft-core vector processor for advanced driver assistance systems
AU - Nolting, Stephan
AU - Giesemann, Florian
AU - Hartig, Julian
AU - Schmider, Achim
AU - Paya-Vaya, Guillermo
N1 - Publisher Copyright: © 2017 Ghent University. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Implementing convolutional neural networks for scene labelling is a current hot topic in the field of advanced driver assistance systems. The massive computational demands under hard real-time and energy constraints can only be tackled using specialized architectures. Also, cost-effectiveness is an important factor when targeting lower quantities. In this PhD thesis, a vector processor architecture optimized for FPGA devices is proposed. Amongst other hardware mechanisms, a novel complex operand addressing mode and an intelligent DMA are used to increase perfromance. Also, a C-compiler support for creating applications is introduced.
AB - Implementing convolutional neural networks for scene labelling is a current hot topic in the field of advanced driver assistance systems. The massive computational demands under hard real-time and energy constraints can only be tackled using specialized architectures. Also, cost-effectiveness is an important factor when targeting lower quantities. In this PhD thesis, a vector processor architecture optimized for FPGA devices is proposed. Amongst other hardware mechanisms, a novel complex operand addressing mode and an intelligent DMA are used to increase perfromance. Also, a C-compiler support for creating applications is introduced.
UR - http://www.scopus.com/inward/record.url?scp=85034431201&partnerID=8YFLogxK
U2 - 10.23919/FPL.2017.8056836
DO - 10.23919/FPL.2017.8056836
M3 - Conference contribution
AN - SCOPUS:85034431201
T3 - International Conference on Field-programmable Logic and Applications
BT - 2017 27th International Conference on Field Programmable Logic and Applications (FPL)
A2 - Gohringer, Diana
A2 - Stroobandt, Dirk
A2 - Mentens, Nele
A2 - Santambrogio, Marco
A2 - Nurmi, Jari
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Field Programmable Logic and Applications, FPL 2017
Y2 - 4 September 2017 through 6 September 2017
ER -