8 citations · 8 across the 3 of their papers we have counts for
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cs.AR2026
SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
Kanishka Gunawardana, Sanka Peeris, Kavishka Rambukwella +4
Spiking Neural Networks (SNNs) have gained significant attention in edge computing due to their low power consumption and computational efficiency. However, existing implementation…
cs.AR2014
Heterogeneous processor pipeline for a product cipher application
I. B. Nawinne, M. S. Wickramasinghe, R. G. Ragel +1
Processing data received as a stream is a task commonly performed by modern embedded devices, in a wide range of applications such as multimedia (encoding/decoding/ playing media),…