Architectural Convergence

Hardware Microarchitecture Patterns as a Formal Basis for Multi-Agent Coordination Theory

Modern AI agent frameworks face architectural challenges strikingly identical to those solved by hardware architects over the past fifty years: memory fragmentation, dependency resolution, parallel execution, state coherence, and fault recovery.

Key Contributions

Formal Isomorphism: Proving that HCT's musical primitives map structurally to hardware patterns (e.g., Fermata ↔ RFO, Tempo ↔ DVFS).
Benchmarked Extensions: Implementing Tomasulo's Algorithm, MESI, and DVFS in an agent framework and measuring real-world impact (2.6× speedup, 100% coherency).
Invariants of Coordination: Identifying the five fundamental constraints that force all parallel systems—from CPUs to Orchestras to Agent Swarms—to converge on the same solutions.

Paper Structure

Section 1: Introduction - The Convergence Thesis
Section 2: Related Work - Hardware & Agent Architectures
Section 3: The Coordination Invariants - 5 Key Constraints
Section 4: Formal Mappings - 7 Isomorphisms
Section 5: Implementation - Hardware-Inspired HCT Extensions
Section 6: Evaluation - Benchmarks & Results
Section 7: Discussion - Towards Hardware-Native Agents

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Citation

@article{wiest2026convergence,
  title = {Architectural Convergence: Hardware Microarchitecture Patterns as a Formal Basis for Multi-Agent Coordination Theory},
  author = {Wiest, Stefan},
  year = {2026},
  journal = {Preprint},
  url = {https://stefanwiest.de/research/papers/architectural-convergence/}
}