Multi-Chip Dataflow Architecture for Massive Scale Biophysically Accurate Neuron Simulation

Jaco Hofman, Amir Zjajo, Carlo Galuzzi, Rene van Leuken

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

State-of-the-art neuron simulators are capable of simulating at most few tens/hundreds of neurons in real-time due to the exponential growth in the communication costs with the number of simulated neurons. In this paper, we present a novel, reconfigurable, multi-chip system architecture based on localized communication, which effectively reduces the communication cost to a linear growth. The system is very flexible and it allows to tune, at run-time, various parameters, e.g. the intracellular concentration of chemical compounds, the interconnection scheme between the neurons. Experimental results indicate that the proposed system architecture allows the simulation of up to few thousands biophysically accurate neurons over multiple chips.
Original languageEnglish
Title of host publicationProceedings - 38th Annual IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS)
EditorsJ. Patton
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages5829-5832
Number of pages4
ISBN (Electronic)978-1-4577-0220-4
ISBN (Print)978-1-4577-0219-8
DOIs
Publication statusPublished - 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, Florida, United States
Duration: 16 Aug 201620 Aug 2016
http://embc.embs.org/2016/

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Abbreviated titleEMBC
CountryUnited States
CityOrlando, Florida
Period16/08/1620/08/16
Internet address

Keywords

  • Field programmable gate arrays
  • Neurons
  • Network topology
  • Integrated circuit interconnections
  • Topology
  • Routing
  • Biological system modeling

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