This repository contains the source files, manuscript, and supplemental materials for:
A Bipartite Tensor Instruction Set Architecture (ISA) for Deterministic Consensus and Thermal Efficiency in High-Performance Computing
This repository contains the reference implementation of the Linear Conglomerate Calculus (LCC), a bipartite tensor instruction set architecture (ISA) designed for deterministic consensus and thermal efficiency.
- Rust Toolchain: Install
rustcandcargovia rustup.rs. - Dependencies: The engine utilizes
num-integerfor GCD calculations anduuidfor node identification.
To compile the engine with maximum optimizations (recommended for benchmarking):
cargo build --releaseThe engine includes three primary validation tests: ComparativeTest1 (Standard LinAlg vs LCC), ComparativeTest2 (TAD-Bridge Performance), and the MaximumRecoveryTest.
cargo run --releaseBipartiteTensor: Implements hardware-level gate partitioning[cite: 188].GeodesicSolver: Executes the Axiomatic Truth Transform via the Path of Least Action.TAD: Implements Topologically Associating Domains for resonance recovery.
| Rust Variable / Struct | LCC Academic Mapping | Hardware/Logical Function |
|---|---|---|
| anchor: u32 | Prime Anchor (n) | Settled integer identity stored in the vaulted B0-31 segment. |
| delta: f32 | Residual Phase Variance | Fractional jitter processed in the voltage-gated B32-63 segment. |
| mass() | Identity Density | Metric calculating the stability of a node; 1.0 represents absolute truth. |
| action: f32 | dS (Accumulated Energy) | The computational expenditure required to traverse the field. |
| suction_break() | Quantized State Finalization | The deterministic trigger for snapping jitter into a crystalline anchor. |
| GeodesicSolver | Axiomatic Truth Transform | The engine that calculates the path of least action through the 156-Metric. |
| TAD | Topologically Associating Domain | A localized resonance scaffold used to recover high-latency data. |
If using this engine for research, please cite the associated PeerJ manuscript: Crago, N. (2026). A Bipartite Tensor Instruction Set Architecture (ISA) for Deterministic Consensus and Thermal Efficiency in High-Performance Computing. DOI: 10.5281/zenodo.20186701
You can however cite all versions by using the DOI: 10.5281/zenodo.19728655 as this will always resolve to the latest one.
MIT
-Deterministic Resolution of the Quantum State via a Discrete Prime‑Indexed Manifold
-Linear Comglomerate Calculus - Specification
-The Bipartite Tensor Architecture and LCC Repository
-SpaceTCO Architecture - Repository
-SpaceTCO - Unified Field Architecture (v3)