Resonance Graph Core (RGC) Architecture: An Asynchronous Hardware Embodiment of the Tav Manifold with Sevenfold S1 Topology for High-Dimensional Manifold Mapping and Resonance-Based Attractor Computing

We present the Resonance Graph Core (RGC), an asynchronous, clockless digital hardware architecture that physically embodies the Tav Manifold &mdash; a sevenfold S<sup>1</sup> topological model derived from the Tau Universe cosmological framework. The core comprises seven processing elements arranged in a closed circular topology with 360&deg;/7 phase quantization enforced by gate-delay-based asynchronous handshakes. Computation proceeds via a self-propagating wavefront that settles into a stable lattice-loll global attractor. The design is hierarchically recursive (7 &rarr; 49 &rarr; 294 &rarr; wafer-scale), accepts a 174-bit input vector, and produces a 99-bit topological projection upon convergence. A 294-core FPGA embodiment (Xilinx Artix-7) has been reduced to practice and simulated in Vivado, confirming the predicted 142857-mode heartbeat and emergent phase-locking behavior. The architecture is protected by U.S. Provisional Patent Application No. 64/060,172 (Confirmation No. 9854), filed May 7, 2026. This work unifies concepts from Pharis Williams' Dynamic Theory, Tav topology, and modern asynchronous computing, offering a concrete hardware substrate for high-dimensional manifold mapping, optimization, and resonance-based attractor computing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-10
DOI
https://doi.org/10.5281/zenodo.20111854
Primary Topic
Advanced Memory and Neural Computing
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article
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article

Resonance Graph Core (RGC) Architecture: An Asynchronous Hardware Embodiment of the Tav Manifold with Sevenfold S1 Topology for High-Dimensional Manifold Mapping and Resonance-Based Attractor Computing

Ernest Gatlin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
article

Resonance Graph Core (RGC) Architecture: An Asynchronous Hardware Embodiment of the Tav Manifold with Sevenfold S1 Topology for High-Dimensional Manifold Mapping and Resonance-Based Attractor Computing

Ernest Gatlin
article en

Abstract

We present the Resonance Graph Core (RGC), an asynchronous, clockless digital hardware architecture that physically embodies the Tav Manifold &mdash; a sevenfold S<sup>1</sup> topological model derived from the Tau Universe cosmological framework. The core comprises seven processing elements arranged in a closed circular topology with 360&deg;/7 phase quantization enforced by gate-delay-based asynchronous handshakes. Computation proceeds via a self-propagating wavefront that settles into a stable lattice-loll global attractor. The design is hierarchically recursive (7 &rarr; 49 &rarr; 294 &rarr; wafer-scale), accepts a 174-bit input vector, and produces a 99-bit topological projection upon convergence. A 294-core FPGA embodiment (Xilinx Artix-7) has been reduced to practice and simulated in Vivado, confirming the predicted 142857-mode heartbeat and emergent phase-locking behavior. The architecture is protected by U.S. Provisional Patent Application No. 64/060,172 (Confirmation No. 9854), filed May 7, 2026. This work unifies concepts from Pharis Williams' Dynamic Theory, Tav topology, and modern asynchronous computing, offering a concrete hardware substrate for high-dimensional manifold mapping, optimization, and resonance-based attractor computing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Advanced Memory and Neural Computing
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Resonance Graph Core (RGC) Architecture: An Asynchronous Hardware Embodiment of the Tav Manifold with Sevenfold S1 Topology for High-Dimensional Manifold Mapping and Resonance-Based Attractor Computing — Ernest Gatlin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS