Implementing a Tall-Infra Data-Only Execution System

Implementing a Tall-Infra Data-Only Execution System Using the Silo Engine as an Example We present Silo, a data-only execution system that eliminates compilation from the development loop while maintaining 60 FPS real-time performance and perfect CPU scaling. The architecture uses a universal Entity container, declarative Prolog logic, multiplicative Utility AI scoring, and stack-based Logic Blocks to create a system where all behavior resides in hot-swappable data tables rather than compiled code. We demonstrate geometric security through fixed-size network packets and path-based access control, achieving input isolation without sandboxing. The system scales linearly to 64+ cores via NUMA-aware work distribution with barrier synchronization. Complete reference implementations of all core structures (Entity, StateMachine, Prolog, UtilityAI, LogicBlock, Thread, Networking) are provided. Measured results: 10,000 entities updated at 4-8ms per frame, 95%+ CPU utilization per core, zero iteration time (changes take effect next frame), and architectural impossibility of privilege escalation or data exfiltration from network inputs. Package Contents:* `manuscript.md`: Paper* `README.md`: Overview **Status:** Architectural Blueprint for Independent Implementation

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-01
DOI
https://doi.org/10.5281/zenodo.18655354
Primary Topic
Distributed systems and fault tolerance
Type
article
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article

Implementing a Tall-Infra Data-Only Execution System

Geoffrey Howland
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
article

Implementing a Tall-Infra Data-Only Execution System

Geoffrey Howland
article en

Abstract

Implementing a Tall-Infra Data-Only Execution System Using the Silo Engine as an Example We present Silo, a data-only execution system that eliminates compilation from the development loop while maintaining 60 FPS real-time performance and perfect CPU scaling. The architecture uses a universal Entity container, declarative Prolog logic, multiplicative Utility AI scoring, and stack-based Logic Blocks to create a system where all behavior resides in hot-swappable data tables rather than compiled code. We demonstrate geometric security through fixed-size network packets and path-based access control, achieving input isolation without sandboxing. The system scales linearly to 64+ cores via NUMA-aware work distribution with barrier synchronization. Complete reference implementations of all core structures (Entity, StateMachine, Prolog, UtilityAI, LogicBlock, Thread, Networking) are provided. Measured results: 10,000 entities updated at 4-8ms per frame, 95%+ CPU utilization per core, zero iteration time (changes take effect next frame), and architectural impossibility of privilege escalation or data exfiltration from network inputs. Package Contents:* `manuscript.md`: Paper* `README.md`: Overview **Status:** Architectural Blueprint for Independent Implementation

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Distributed systems and fault tolerance
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Implementing a Tall-Infra Data-Only Execution System — Geoffrey Howland · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS