pith:UAP4XNP5
FlowPlace: Flow Matching for Chip Placement
FlowPlace applies flow matching to chip placement to deliver overlap-free layouts with superior PPA metrics and 10-50 times faster sampling than diffusion models.
arxiv:2604.23658 v2 · 2026-04-26 · cs.AR · cs.AI · cs.LG
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\pithnumber{UAP4XNP5WN5SCOTLVXG4H53XLK}
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Record completeness
Claims
Experiments on OpenROAD and ICCAD 2015 benchmarks show FlowPlace achieves better PPA metrics, 10-50× faster sampling efficiency, and zero overlaps.
That mask-guided synthetic data generation combined with hard constraint sampling will produce valid, high-quality placements that generalize from the tested benchmarks to real industrial chip designs without introducing new failure modes.
FlowPlace uses flow matching with mask-guided data and hard constraints to generate faster, overlap-free chip placements with better PPA metrics than diffusion models.
Receipt and verification
| First computed | 2026-06-02T03:04:41.527847Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a01fcbb5fdb37b213a6badcdc3f7775aaf0a94e0b2e614809c04d2917fbeddda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UAP4XNP5WN5SCOTLVXG4H53XLK \
| 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: a01fcbb5fdb37b213a6badcdc3f7775aaf0a94e0b2e614809c04d2917fbeddda
Canonical record JSON
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