Presentation
Unispike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
DescriptionMany-core neuromorphic systems serve as specialized accelerators for Spiking Neural Networks (SNNs). However, the communication mechanisms in existing neuromorphic systems incur significant traffic and energy overhead due to redundant address transmissions, a bottleneck exacerbated by the short payloads inherent to the spike-based communication nature of SNNs. Specifically, our characterization reveals that in current neuromorphic systems, duplicate address transmissions can account for up to 49% of the total traffic in representative workloads.
This paper presents UniSpike, a hardware-software co-design that eliminates address redundancy by aggregating spikes destined for the same core into single, compact packets. UniSpike implements a spike transmission scheduling strategy to enable efficient spike merging, supported by a dedicated hardware architecture for runtime packet assembly and dispatch, as well as a destination-aware SNN partitioning algorithm that maximizes address sharing opportunities. Experimental results demonstrate that on average, UniSpike reduces traffic volume by 1.93x, achieving 1.77x speedup and 1.50x energy efficiency improvement over state-of-the-art designs.
This paper presents UniSpike, a hardware-software co-design that eliminates address redundancy by aggregating spikes destined for the same core into single, compact packets. UniSpike implements a spike transmission scheduling strategy to enable efficient spike merging, supported by a dedicated hardware architecture for runtime packet assembly and dispatch, as well as a destination-aware SNN partitioning algorithm that maximizes address sharing opportunities. Experimental results demonstrate that on average, UniSpike reduces traffic volume by 1.93x, achieving 1.77x speedup and 1.50x energy efficiency improvement over state-of-the-art designs.
Event Type
Research Manuscript
TimeTuesday, July 2811:36am - 11:50am PDT
LocationMtg Room 101B
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