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OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
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Canonical route: /signal-canvas/openacmv2-an-accuracy-constrained-co-optimization-framework-for-approximate-dcim
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 8/10
- Last proof check
- 2026-04-02
- Score updated
- 2026-04-02
- Score fresh until
- 2026-05-02
- References
- 0
- Source count
- 0
- Coverage
- 17%
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OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
Canonical ID openacmv2-an-accuracy-constrained-co-optimization-framework-for-approximate-dcim | Route /signal-canvas/openacmv2-an-accuracy-constrained-co-optimization-framework-for-approximate-dcim
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/openacmv2-an-accuracy-constrained-co-optimization-framework-for-approximate-dcimMCP example
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Dimensions overall score 8.0
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No public code linked for this paper yet.
Claim map
- Evidencepartial
Building on OpenYield, we introduce Accuracy-Constrained Co-Optimization (ACCO) and present OpenACMv2, an open framework that operationalizes ACCO
ImplicationpartialExplicitly stated in the abstract as the core contribution of the paper.
Verificationpartialpartial
- Evidencepartial
OpenACMv2, an open framework that operationalizes ACCO via two-level optimization: (1) accuracy-constrained architecture search of compressor combinations and SRAM macro parameters... and (2) variation- and PVT-aware transistor sizing for standard cells and SRAM bitcells
ImplicationpartialDirectly described in the abstract with specific components mentioned.
Verificationpartialpartial
- Evidencepartial
driven by a fast GNN-based surrogate for PPA and error
ImplicationpartialSpecifically mentioned as part of the architecture search methodology.
Verificationpartialpartial
- Evidencepartial
variation- and PVT-aware transistor sizing for standard cells and SRAM bitcells using Monte Carlo
ImplicationpartialExplicitly stated as part of the circuit-level optimization approach.
Verificationpartialpartial
- Evidencepartial
Experiments demonstrate significant PPA improvements under controlled accuracy budgets
ImplicationpartialClaimed in the abstract as an experimental result, though specific numbers are not provided in the given text.
Verificationpartialpartial
- Evidencepartial
enabling rapid 'what-if' exploration for approximate DCiM
ImplicationpartialPresented as a capability of the framework in the abstract conclusion.
Verificationpartialpartial
- Evidencepartial
The workflow is compatible with FreePDK45 and OpenROAD, supporting reproducible evaluation and easy adoption
ImplicationpartialExplicitly stated as a feature supporting reproducibility and adoption.
Verificationpartialpartial
- Evidencepartial
The framework is available on https://github.com/ShenShan123/OpenACM
ImplicationpartialDirectly stated with specific URL provided.
Verificationpartialpartial
