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Data and Commands Communication Protocol for Neuromorphic Platform Configuration

机译:用于神经形态平台配置的数据和命令通信协议

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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.
机译:在本文中,我们提出了一种新的网络协议和方法来增强Spinnaker Spiking神经网络硬件模拟器的配置阶段。我们开发了一个能够接受和处理封装到ad-hoc数据包的一组配置原语(数据规范)的系统的系统,避免了从主机管理的芯片内存管理。我们对主机软件库中实现的数据规范生成器进行了研究。之后,我们将目前的车载数据规范执行器扩展到应对新形成的数据包。 UDP协议的使用呈现出挑战,因为它的内在不可靠性。此外,每个板的存在单个以太网链路,以及专用处理器处理所有以太网通信的要求限制可用通信带宽。执行一组模拟,以调整协议参数并研究传输速度和可靠性之间的权衡。我们能够达到每250μs的数据包的吞吐量,这对应于〜10 MB / s的带宽。该系统能够为Spinnaker架构开辟新的透视图。因此,包括减少配置模拟所需的时间,能够配置更多实例的模拟。该系统甚至可以实现神经发生的模拟。

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