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Reconfigurable computing for future vision-capable devices

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Standard

Reconfigurable computing for future vision-capable devices. / López, Miguel Bordallo; Nieto, Alejandro; Silvén, Olli; Bóutellier, Jani; Vilariño, David López.

Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. s. 34-41 7363657.

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Harvard

López, MB, Nieto, A, Silvén, O, Bóutellier, J & Vilariño, DL 2015, Reconfigurable computing for future vision-capable devices. julkaisussa Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015., 7363657, Institute of Electrical and Electronics Engineers Inc., Sivut 34-41, Samos, Kreikka, 20/07/15. https://doi.org/10.1109/SAMOS.2015.7363657

APA

López, M. B., Nieto, A., Silvén, O., Bóutellier, J., & Vilariño, D. L. (2015). Reconfigurable computing for future vision-capable devices. teoksessa Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015 (Sivut 34-41). [7363657] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMOS.2015.7363657

Vancouver

López MB, Nieto A, Silvén O, Bóutellier J, Vilariño DL. Reconfigurable computing for future vision-capable devices. julkaisussa Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. s. 34-41. 7363657 https://doi.org/10.1109/SAMOS.2015.7363657

Author

López, Miguel Bordallo ; Nieto, Alejandro ; Silvén, Olli ; Bóutellier, Jani ; Vilariño, David López. / Reconfigurable computing for future vision-capable devices. Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. Sivut 34-41

Bibtex - Lataa

@inproceedings{f76e6e195e5143dba88dc16b329f77bf,
title = "Reconfigurable computing for future vision-capable devices",
abstract = "Mobile devices have been identified as promising platforms for interactive vision-based applications. However, this type of applications still pose significant challenges in terms of latency, throughput and energy-efficiency. In this context, the integration of reconfigurable architectures on mobile devices allows dynamic reconfiguration to match the computation and data flow of interactive applications, demonstrating significant performance benefits compared to general purpose architectures. This paper presents concepts laying on platform level adaptability, exploring the acceleration of vision-based interactive applications through the utilization of three reconfigurable architectures: A low-power EnCore processor with a Configurable Flow Accelerator co-processor, a hybrid reconfigurable SIMD/MIMD platform and Transport-Triggered Architecture-based processors. The architectures are evaluated and compared with current processors, analyzing their advantages and weaknesses in terms of performance and energy-efficiency when implementing highly interactive vision-based applications. The results show that the inclusion of reconfigurable platforms on mobile devices can enable the computation of several computationally heavy tasks with high performance and small energy consumption while providing enough flexibility.",
author = "L{\'o}pez, {Miguel Bordallo} and Alejandro Nieto and Olli Silv{\'e}n and Jani B{\'o}utellier and Vilari{\~n}o, {David L{\'o}pez}",
year = "2015",
month = "12",
day = "22",
doi = "10.1109/SAMOS.2015.7363657",
language = "English",
pages = "34--41",
booktitle = "Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Reconfigurable computing for future vision-capable devices

AU - López, Miguel Bordallo

AU - Nieto, Alejandro

AU - Silvén, Olli

AU - Bóutellier, Jani

AU - Vilariño, David López

PY - 2015/12/22

Y1 - 2015/12/22

N2 - Mobile devices have been identified as promising platforms for interactive vision-based applications. However, this type of applications still pose significant challenges in terms of latency, throughput and energy-efficiency. In this context, the integration of reconfigurable architectures on mobile devices allows dynamic reconfiguration to match the computation and data flow of interactive applications, demonstrating significant performance benefits compared to general purpose architectures. This paper presents concepts laying on platform level adaptability, exploring the acceleration of vision-based interactive applications through the utilization of three reconfigurable architectures: A low-power EnCore processor with a Configurable Flow Accelerator co-processor, a hybrid reconfigurable SIMD/MIMD platform and Transport-Triggered Architecture-based processors. The architectures are evaluated and compared with current processors, analyzing their advantages and weaknesses in terms of performance and energy-efficiency when implementing highly interactive vision-based applications. The results show that the inclusion of reconfigurable platforms on mobile devices can enable the computation of several computationally heavy tasks with high performance and small energy consumption while providing enough flexibility.

AB - Mobile devices have been identified as promising platforms for interactive vision-based applications. However, this type of applications still pose significant challenges in terms of latency, throughput and energy-efficiency. In this context, the integration of reconfigurable architectures on mobile devices allows dynamic reconfiguration to match the computation and data flow of interactive applications, demonstrating significant performance benefits compared to general purpose architectures. This paper presents concepts laying on platform level adaptability, exploring the acceleration of vision-based interactive applications through the utilization of three reconfigurable architectures: A low-power EnCore processor with a Configurable Flow Accelerator co-processor, a hybrid reconfigurable SIMD/MIMD platform and Transport-Triggered Architecture-based processors. The architectures are evaluated and compared with current processors, analyzing their advantages and weaknesses in terms of performance and energy-efficiency when implementing highly interactive vision-based applications. The results show that the inclusion of reconfigurable platforms on mobile devices can enable the computation of several computationally heavy tasks with high performance and small energy consumption while providing enough flexibility.

UR - http://www.scopus.com/inward/record.url?scp=84963704173&partnerID=8YFLogxK

U2 - 10.1109/SAMOS.2015.7363657

DO - 10.1109/SAMOS.2015.7363657

M3 - Conference contribution

SP - 34

EP - 41

BT - Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -