Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
CoRR(2023)
摘要
Spiking Neural Networks (SNNs) are gaining increasing attention for their
biological plausibility and potential for improved computational efficiency. To
match the high spatial-temporal dynamics in SNNs, neuromorphic chips are highly
desired to execute SNNs in hardware-based neuron and synapse circuits directly.
This paper presents a large-scale neuromorphic chip named Darwin3 with a novel
instruction set architecture(ISA), which comprises 10 primary instructions and
a few extended instructions. It supports flexible neuron model programming and
local learning rule designs. The Darwin3 chip architecture is designed in a
mesh of computing nodes with an innovative routing algorithm. We used a
compression mechanism to represent synaptic connections, significantly reducing
memory usage. The Darwin3 chip supports up to 2.35 million neurons, making it
the largest of its kind in neuron scale. The experimental results showed that
code density was improved up to 28.3x in Darwin3, and neuron core fan-in and
fan-out were improved up to 4096x and 3072x by connection compression compared
to the physical memory depth. Our Darwin3 chip also provided memory saving
between 6.8X and 200.8X when mapping convolutional spiking neural networks
(CSNN) onto the chip, demonstrating state-of-the-art performance in accuracy
and latency compared to other neuromorphic chips.
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