Data and Commands Communication Protocol for Neuromorphic Platform Configuration

SIINO, Alessandro, BARCHI, Francesco, DAVIES, Sergio, URGESE, Gianvito and ACQUAVIVA, Andrea (2016). Data and Commands Communication Protocol for Neuromorphic Platform Configuration. In: 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC). IEEE.

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Official URL: https://ieeexplore.ieee.org/document/7774416
Link to published version:: https://doi.org/10.1109/mcsoc.2016.41
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    Abstract

    In this paper, we present a new network protocol and methodology to enhance the configuration phase of the SpiNNaker spiking neural network hardware simulator. We have developed a system able to accept and process on-board a set of configuration primitives (data specification) encapsulated into ad-hoc packets, avoiding the management of chip memory from the host computer. We performed a study of the data specification generator implemented in the host software library. Afterwards, we extended the currently on-board data specification executor to cope with the newly-formed packets. The use of UDP protocol presents challenges due to its intrinsic unreliability. Furthermore, the presence of a single Ethernet link per board, and the requirement for a dedicated processor to handle all Ethernet communications limit the available communication bandwidth. A set of simulations was performed in order to tune the protocol parameters and to study the trade-offs between transmission speed and reliability. We were able to reach a throughput of a packet every 250 μs, which corresponds to a bandwidth of ~10 Mb/s. This system is able to open new perspectives for the SpiNNaker architecture. Thus, including the reduction of the time required to configure a simulation, the ability to configure more instances of a simulation. This system could even to enable the simulation of neurogenesis.

    Item Type: Book Section
    Identification Number: https://doi.org/10.1109/mcsoc.2016.41
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 27 Apr 2020 16:21
    Last Modified: 27 Apr 2020 16:30
    URI: http://shura.shu.ac.uk/id/eprint/24470

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