PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework

PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework (v28.1) This version (v28.1) corrects the missing reference to Amdahl's Law in the scalability analysis and adds the estimated cryogenic cost to the benefits table. The core results remain unchanged. We present PROMETEO-PRIME, a cryogenic supercomputing architecture derived from the RG-S R5+ theoretical framework. The system comprises a tensor processing core (PROMETEO-T), a persistent memory subsystem (PROMETEO-STOR), a cryogenic motherboard, and specialized data buses. The design is based on the topological hysteresis and MERA Berry phase described in the sanitized v27 of the RG-S framework. Key Features: Planar (2D) design implementing 47 layers of the MERA network through temporal and spectral multiplexing. Multi-material compatibility with Nb, NbTi, NbN, MgB₂, and FeSe, operating from 10 mK to 25 K. Robust mechanical design featuring a flexible Indium gasket with serrated geometry (relief factor 0.20) to absorb thermal contraction. Validated through numerical simulations (PyTorch, FEM, RF metrology), demonstrating -60 dB crosstalk attenuation and residual stress below yield limits. Scalable architecture supporting up to 1024 chips with a speedup of 91.18x at 99% parallel efficiency (Amdahl's Law). Estimated Benefits (1 EB data center): Power consumption (processing): 0.58 kW (vs. 90,000 kW traditional) Annual electricity cost (processing): $0 (vs. $94.6 million traditional) Annual cryogenic cost: $18,000 - $37,000 USD (dilution refrigerator operation) Total annual operating cost: $18,000 - $37,000 USD (vs. $94.6 million traditional) Physical volume: 0.1 m³ (vs. 24,000 m³ traditional) Version Notes (v28.1): Added reference to Amdahl's Law (Amdahl, 1967) for scalability analysis. Added estimated cryogenic cost to the benefits table. Updated Table 4 with total annual operating cost. The author is an independent researcher without access to nanofabrication or cryogenic facilities. All simulations were performed using publicly available tools (PyTorch, Google Colab, FEM analysis). The full simulation codes are available in the accompanying Colab notebook. Research centers and companies with fabrication capabilities are invited to collaborate in the experimental validation of the design. Keywords Open Science Modified Gravity, General Relativity Extension, Symmetron Field, Proca Field,MERa Berry Phase, Cryogenic Supercomputing, Tensor Processing,Persistent Memory, Superconducting Materials, PROMETEO-PRIME, RG-S R5+

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-25
DOI
https://doi.org/10.5281/zenodo.21573060
Primary Topic
Superconducting and THz Device Technology
Type
article
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article

PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework

Juan Arroyo
Zenodo (CERN European Organization for Nuclear Research)
Superconducting and THz Device Technology
article

PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework

Juan Arroyo
article en

Abstract

PROMETEO-PRIME: A Cryogenic Supercomputing Architecture Based on the RG-S R5+ Framework (v28.1) This version (v28.1) corrects the missing reference to Amdahl's Law in the scalability analysis and adds the estimated cryogenic cost to the benefits table. The core results remain unchanged. We present PROMETEO-PRIME, a cryogenic supercomputing architecture derived from the RG-S R5+ theoretical framework. The system comprises a tensor processing core (PROMETEO-T), a persistent memory subsystem (PROMETEO-STOR), a cryogenic motherboard, and specialized data buses. The design is based on the topological hysteresis and MERA Berry phase described in the sanitized v27 of the RG-S framework. Key Features: Planar (2D) design implementing 47 layers of the MERA network through temporal and spectral multiplexing. Multi-material compatibility with Nb, NbTi, NbN, MgB₂, and FeSe, operating from 10 mK to 25 K. Robust mechanical design featuring a flexible Indium gasket with serrated geometry (relief factor 0.20) to absorb thermal contraction. Validated through numerical simulations (PyTorch, FEM, RF metrology), demonstrating -60 dB crosstalk attenuation and residual stress below yield limits. Scalable architecture supporting up to 1024 chips with a speedup of 91.18x at 99% parallel efficiency (Amdahl's Law). Estimated Benefits (1 EB data center): Power consumption (processing): 0.58 kW (vs. 90,000 kW traditional) Annual electricity cost (processing): $0 (vs. $94.6 million traditional) Annual cryogenic cost: $18,000 - $37,000 USD (dilution refrigerator operation) Total annual operating cost: $18,000 - $37,000 USD (vs. $94.6 million traditional) Physical volume: 0.1 m³ (vs. 24,000 m³ traditional) Version Notes (v28.1): Added reference to Amdahl's Law (Amdahl, 1967) for scalability analysis. Added estimated cryogenic cost to the benefits table. Updated Table 4 with total annual operating cost. The author is an independent researcher without access to nanofabrication or cryogenic facilities. All simulations were performed using publicly available tools (PyTorch, Google Colab, FEM analysis). The full simulation codes are available in the accompanying Colab notebook. Research centers and companies with fabrication capabilities are invited to collaborate in the experimental validation of the design. Keywords Open Science Modified Gravity, General Relativity Extension, Symmetron Field, Proca Field,MERa Berry Phase, Cryogenic Supercomputing, Tensor Processing,Persistent Memory, Superconducting Materials, PROMETEO-PRIME, RG-S R5+

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 9%
Superconducting and THz Device Technology
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