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ATOMiK: Redefining Computation Through Stateless, Delta-Driven Architecture

Authors: Rockwell, Matthew;

ATOMiK: Redefining Computation Through Stateless, Delta-Driven Architecture

Abstract

ATOMiK is a stateless, delta-driven computing architecture that eliminates all forms of persistent memory/state, executing purely via deterministic state transitions. This white paper introduces ATOMiK’s architectural innovation – register-level delta execution – and contrasts it with conventional CPU/GPU/FPGA architectures. By removing persistent state, ATOMiK directly addresses core bottlenecks in modern computing: it virtually eliminates memory latency stalls, dramatically reduces power-hungry data movement, simplifies state synchronization, and minimizes security vulnerabilities from data at rest. We present a Python-based proof-of-concept pipeline and detailed benchmarks demonstrating order-of-magnitude gains in latency, bandwidth usage, and compression. Key implementation elements such as delta encoding, windowed pattern capture, and deterministic replay verification are explained in depth. We also describe early hardware validation in Verilog, including simulation waveforms from a UART-based testbench that confirm the design’s modular operation and exact replay of computations. All results show bit-perfect deterministic execution from synthetic and real video data without storing state. The paper concludes by underscoring ATOMiK’s architectural defensibility – including provisional patent protection – as a foundational shift toward more efficient, secure, and scalable computing.

Keywords

Blockchain, Computers, Energy Efficiency, Latency, Edge Computing, Videogames, Servers, Von Neumann, Streaming, Stateless, Computer Security

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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