pith:HNQL6W6S
NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
A bidirectional ring topology and stream-dataflow architecture on FPGAs enables scalable faster-than-real-time execution of large spiking neural networks while preserving activity statistics.
arxiv:2604.28059 v2 · 2026-04-30 · cs.AR · cs.DC · cs.NE
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\usepackage{pith}
\pithnumber{HNQL6W6SSPCRLJA5UXI66BN7QW}
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Record completeness
Claims
NeuroRing preserves the key activity statistics of the NEST reference model, achieves faster-than-real-time execution of the full-scale cortical microcircuit with a real-time factor (RTF) of 0.83, exhibits meaningful strong and weak scaling, and provides competitive energy efficiency on two programmable FPGAs.
That the bidirectional ring topology and stream-dataflow architecture will continue to avoid communication bottlenecks and synchronization overhead when scaled beyond the evaluated two-FPGA configuration or to networks with different spike sparsity patterns.
NeuroRing delivers a modular multi-FPGA accelerator for spiking neural networks that achieves real-time factor 0.83 on the full cortical microcircuit while preserving NEST activity statistics and showing scaling behavior.
Receipt and verification
| First computed | 2026-05-27T01:05:55.495584Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b60bf5bd293c515a41da5d1ef05bf85a5c08cd4b1b82462d823ac8183badf1d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNQL6W6SSPCRLJA5UXI66BN7QW \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3b60bf5bd293c515a41da5d1ef05bf85a5c08cd4b1b82462d823ac8183badf1d
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2026-04-30T16:04:26Z",
"title_canon_sha256": "847625e38ad65a13137167a7d5e6245df02b0f930655a4e8971809b61a09a6a5"
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