Task clustering approach to optimize the scheduling on a partially dynamically reconfigurable FPGAs for image processing algorithms

E.M. Abdali 1 Maxime Pelcat 2 F. Berry 1 J.-P. Diguet 3 D. Heller 3
1 LASMEA - Laboratoire des sciences et matériaux pour l'électronique et d'automatique
2 IP - Institut Pascal
3 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance [Lorient]
Abstract : Field-programmable gate array (FPGAs) are classified as high efficient computational execution platform. However their limited density makes them not suitable for highly demanding algorithms. The Partial Dynamic Reconfiguration (PDR) concept overcomes this problem by rising the FPGA reuse from one task to another. Nonetheless, the scheduling on partially dynamically reconfigurable architectures involves several degrees of freedom and hardware constraints to be managed, which makes the PDR more challenging. In this paper we propose a task clustering approach to optimize the scheduling on PDR FPGAs. By clustering tasks, the approach moves the optimizing overhead from hardware side into the software side, which is largely simple. © 2016 ACM.
Keywords : Reconfigurable Image processing algorithm Partial dynamic reconfiguration Dynamic models Field programmable gate arrays (FPGA) Hardware Image processing Reconfigurable architectures Scheduling Tracking (position) Dynamically reconfigurable architecture Execution platforms Hardware constraints High efficient Degrees of freedom (mechanics) Computer hardware Cameras Task clustering Reconfigurable hardware
Type de document :
Communication dans un congrès
10th International Conference on Distributed Smart Cameras, ICDSC 2016, Sep 2016, Paris, France. Association for Computing Machinery, 12-15-September-2016, pp.230--231, 2016, 〈10.1145/2967413.2974042〉
Liste complète des métadonnées
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01380635
Contributeur : Laurent Jonchère <>
Soumis le : jeudi 13 octobre 2016 - 12:00:24
Dernière modification le : mardi 5 février 2019 - 15:58:22

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E.M. Abdali, Maxime Pelcat, F. Berry, J.-P. Diguet, D. Heller. Task clustering approach to optimize the scheduling on a partially dynamically reconfigurable FPGAs for image processing algorithms. 10th International Conference on Distributed Smart Cameras, ICDSC 2016, Sep 2016, Paris, France. Association for Computing Machinery, 12-15-September-2016, pp.230--231, 2016, 〈10.1145/2967413.2974042〉. 〈hal-01380635〉

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