SCALP : self-configurable 3-D cellular adaptive platform

Vannel, Fabien (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Barrientos, Diego (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Schmidt, Joachim (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Abegg, Christian (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Buhlmann, Damien (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Upegui, Andres (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland)

Parallel computation has appeared as the most promising technique to circumvent the limitations imposed by power consumption in order to continue increasing computation power, making thus manycore architectures a promising computer organization approach. Interconnecting and coordinating such high amount of computation nodes in an efficient manner is a hot research topic, several approaches to Network-on-chip architectures propose solutions for this. This paper presents a 3D multi-FPGA hardware platform permitting to prototype 3D NoC architectures with dynamic topologies. More precisely, we intend to use it to prototype self-adaptive and self-organizing hardware architectures in which the computation performed by a node and the interconnections between these nodes can be dynamically modified, being these modifications triggered by the platform itself. This paper presents the overall hardware organization and gives some hints about how to use it.


Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEPIA - Genève
Institute:
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Publisher:
Bangalore, India, 18-21 November 2018
Date:
2018-11
Bangalore, India
18-21 November 2018
Pagination:
pp. 1307-1312
Published in:
Proceedings of 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 18-21 November 2018, Bangalore, India
DOI:
ISBN:
978-1-5386-9276-9
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 Record created 2020-08-25, last modified 2020-10-27

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