RING_RT: A Phase-Aligned, Multi-Radix, Self-Repairing Computational Topology for Linux Real-Time Systems | Let the laws of motion give Rise to Vertigo, Vertical Processing
Abstract
RING_RT: A Phase-Aligned Real-Time Kernel Modern operating systems are no longer constrained by arithmetic throughput. They are constrained by architectural drag: cache-coherence storms, branch divergence, lock contention, priority inversion, NUMA penalties, and the widening gap between hardware parallelism and software control flow. These frictions—not FLOPs—define the ceiling of contemporary performance. RING_RT introduces a fundamentally different model of real-time computation: a Linux RT kernel architecture built on a phase-aligned, multi-radix computational topology anchored in a base-720 ring lattice. Instead of treating execution as a sequence of instructions, RING_RT treats it as \emph{coherent traversal across a protected phase manifold}, where execution, memory, storage, and trust share a unified geometric representation. This shift eliminates entire classes of overhead. Priority scheduling becomes unnecessary. Address-centric memory semantics dissolve into phase-indexed lookup tables. Linear I/O pipelines are replaced by multi-lane, phase-synchronous flows. The result is a system where \emph{alignment replaces arbitration} and coherence replaces contention. RING_RT: A Phase-Aligned, Multi-Radix, Self-Repairing Computational Topology for Linux Real-Time Systems | Let the laws of motion give Rise to Vertigo, Vertical Processing %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % SECTION 1.1 — THEORY OF OPERATIONS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Theory of Operations The core abstraction of RING_RT is the 720-phase manifold}, a discrete, multi-radix computational lattice. Every executable entity--task, buffer, device, flow--occupies a position in this lattice. Execution is not scheduled; it \emph{advances} through the manifold.
Fields of Study & Subjects
Real-Time Systems Scheduling
Parallel Computing and Optimization Techniques
Distributed systems and fault tolerance
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026