SNN workloads deployed via K3d show up to 47.6 times higher latency and 49 times lower throughput when CPU is limited to 0.5 cores, with accuracy staying stable but tail latency issues from round-robin routing during scaling.
Edge intelligence with spiking neural networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ShiftLIF maps membrane potentials to logarithmically spaced power-of-two spike levels, improving representational capacity in SNNs while keeping synaptic operations multiplier-free.
citing papers explorer
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Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments
SNN workloads deployed via K3d show up to 47.6 times higher latency and 49 times lower throughput when CPU is limited to 0.5 cores, with accuracy staying stable but tail latency issues from round-robin routing during scaling.
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ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
ShiftLIF maps membrane potentials to logarithmically spaced power-of-two spike levels, improving representational capacity in SNNs while keeping synaptic operations multiplier-free.