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Persistent State Machine: Breaking the von Neumann Memory Wall for LLM Attention

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Published July 26, 2026 | Version v1 Preprint Open Persistent State Machine: A Formal Computational Paradigm Beyond The Von Neumann Model for High-Sparsity LLM Attention Acceleration Authors/Creators Esaka, Yusuke1 Show affiliations 1. Cosmos Administrative Scrivener Office & Independent Researcher Description The von Neumann memory wall---the bandwidth and energy gap between computation and data storage---has become the dominant bottleneck of Large Language Model (LLM) inference. This paper introduces the Persistent State Machine (PSM), a formal computational paradigm where computation is broadcast as instructions to stationary in-memory cells that evaluate state transitions locally.

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Published July 26, 2026 | Version v1 Preprint Open Persistent State Machine: A Formal Computational Paradigm Beyond The Von Neumann Model for High-Sparsity LLM Attention Acceleration Authors/Creators Esaka, Yusuke1 Show affiliations 1. Cosmos Administrative Scrivener Office & Independent Researcher Description The von Neumann memory wall---the bandwidth and energy gap between computation and data storage---has become the dominant bottleneck of Large Language Model (LLM) inference. This paper introduces the Persistent State Machine (PSM), a formal computational paradigm where computation is broadcast as instructions to stationary in-memory cells that evaluate state transitions locally.

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