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Reconfigurable communication fabric for efficient implementation of neural networks
KTH, School of Information and Communication Technology (ICT), Electronics and Embedded Systems.
2015 (English)In: 10th International Symposium on Reconfigurable and Communication-centric Systems-on-Chip, Institute of Electrical and Electronics Engineers (IEEE), 2015, 7238097Conference paper (Refereed)Text
Abstract [en]

Handling heavy multicast-based inter-neuron communication is the most challenging issue in parallel implementation of neural networks. To address this problem, a reconfigurable Network-on-Chip (NoC) architecture for neural networks is presented in this paper. The NoC consists of a number of node clusters with a fix topology connected by a reconfigurable inter-cluster communication fabric that efficiently handles multicast communication. The evaluation results show that the proposed architecture can better manage the multicast-based traffic of neural networks than the mesh-based topologies proposed in prior work. It offers up to 60% and 22% lower average message latency compared to a baseline and a state-of-the-Art NoC for neural networks, respectively, which directly translates to faster neural processing.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 7238097
Keyword [en]
MESH networking, Microprocessor chips, Multicasting, Network architecture, Neural networks, Reconfigurable architectures, Reconfigurable hardware, Servers, Topology, VLSI circuits, Efficient implementation, Hardware accelerators, Intercluster communication, Multicast communication, Parallel implementations, Proposed architectures, Reconfigurable network, Reconfivuration, Network-on-chip
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-187118DOI: 10.1109/ReCoSoC.2015.7238097ISI: 000380396200020ScopusID: 2-s2.0-84954095679ISBN: 978-146737942-7OAI: oai:DiVA.org:kth-187118DiVA: diva2:929558
Conference
10th International Symposium on Reconfigurable and Communication-centric Systems-on-Chip, ReCoSoC 2015; Bremen; Germany
Note

QC 20160519

Available from: 2016-05-19 Created: 2016-05-17 Last updated: 2016-09-07Bibliographically approved

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Daneshtalab, Masoud
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Electronics and Embedded Systems
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ReferencesLink to record
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