Application-specific soft-core vector processor for advanced driver assistance systems

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Stephan Nolting
  • Florian Giesemann
  • Julian Hartig
  • Achim Schmider
  • Guillermo Paya-Vaya
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2017 27th International Conference on Field Programmable Logic and Applications (FPL)
Herausgeber/-innenDiana Gohringer, Dirk Stroobandt, Nele Mentens, Marco Santambrogio, Jari Nurmi
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9789090304281
PublikationsstatusVeröffentlicht - 2017
Veranstaltung27th International Conference on Field Programmable Logic and Applications, FPL 2017 - Gent, Belgien
Dauer: 4 Sept. 20176 Sept. 2017

Publikationsreihe

NameInternational Conference on Field-programmable Logic and Applications

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

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Application-specific soft-core vector processor for advanced driver assistance systems. / Nolting, Stephan; Giesemann, Florian; Hartig, Julian et al.
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/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Nolting, S, Giesemann, F, Hartig, J, Schmider, A & Paya-Vaya, G 2017, Application-specific soft-core vector processor for advanced driver assistance systems. in D Gohringer, D Stroobandt, N Mentens, M Santambrogio & J Nurmi (Hrsg.), 2017 27th International Conference on Field Programmable Logic and Applications (FPL)., 8056836, International Conference on Field-programmable Logic and Applications, Institute of Electrical and Electronics Engineers Inc., 27th International Conference on Field Programmable Logic and Applications, FPL 2017, Gent, Belgien, 4 Sept. 2017. https://doi.org/10.23919/FPL.2017.8056836
Nolting, S., Giesemann, F., Hartig, J., Schmider, A., & Paya-Vaya, G. (2017). Application-specific soft-core vector processor for advanced driver assistance systems. In D. Gohringer, D. Stroobandt, N. Mentens, M. Santambrogio, & J. Nurmi (Hrsg.), 2017 27th International Conference on Field Programmable Logic and Applications (FPL) Artikel 8056836 (International Conference on Field-programmable Logic and Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/FPL.2017.8056836
Nolting S, Giesemann F, Hartig J, Schmider A, Paya-Vaya G. Application-specific soft-core vector processor for advanced driver assistance systems. in Gohringer D, Stroobandt D, Mentens N, Santambrogio M, Nurmi J, Hrsg., 2017 27th International Conference on Field Programmable Logic and Applications (FPL). Institute of Electrical and Electronics Engineers Inc. 2017. 8056836. (International Conference on Field-programmable Logic and Applications). doi: 10.23919/FPL.2017.8056836
Nolting, Stephan ; Giesemann, Florian ; Hartig, Julian et al. / Application-specific soft-core vector processor for advanced driver assistance systems. 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. (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.",
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