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ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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Ramanujan-Pi Series and Nvidia Blackwell B200 : FP64 Architecting Transcendental Entropy for Bitcoin Security

Authors: VAITHYANATHAN, PRAKASH;

Ramanujan-Pi Series and Nvidia Blackwell B200 : FP64 Architecting Transcendental Entropy for Bitcoin Security

Abstract

Transcendental Entropy Anchoring: Integrates Srinivasa Ramanujan’s 1914 infinite pi-series into the NVIDIA Blackwell B200 architecture to create a hardware-native source of randomness. Hardware-Native Root of Trust: Captures raw thermal noise from the silicon and processes it through a 64-bit large-prime multiplier to define a unique starting point within the infinite expansion of pi. High-Precision Nonce Generation: Utilizes 40 TFLOPS of native FP64 performance and Tensor Memory to synthesize non-repeating, high-entropy cryptographic nonces. Entropy Density: Leverages the rapid convergence of the Ramanujan series to generate approximately 26.5 bits of new, non-repeating entropy per calculated term. Precision-Gated Consensus: Introduces a new Proof-of-Work metric where mining difficulty is coupled with solving hypergeometric expansions to a specific precision threshold. ASIC Neutralization: Disables specialized bitwise shortcuts like ASIC-boost by shifting the computational requirement to high-precision arithmetic synthesis that traditional mining hardware cannot perform. Side-Channel Resistance: Ensures invariant timing and a constant computational energy profile, making the system structurally immune to power-analysis attacks. Architectural Optimization: Employs the Tensor Memory Accelerator to manage high-bandwidth data movement for mathematical constants without saturating the GPU's general-purpose registers.

Keywords

Tensor Memory Accelerator, Nvidia Blackwell 200, Proof-of-work hardening, Hardware Software co-design, Transcendental Entropy, Side-channel Resistance, High-Precision Arithmetic, Bitcoin Mining Security, Ramanujan Pi-series

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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
Green