Data Physics & Cyber-Physical Systems - Part II: TACE-Alg: Control Architecture and Industrial Telemetry for mCDU: Thermo-Algorithmic Control & Execution Algorithm
Rajmund Olszewski · Zenodo (CERN European Organization for Nuclear Research) · 2026
1. Abstract & The "Straggler Effect". As semiconductor fabrication advances toward sub-3nm nodes, thermal management in hyperscale AI accelerator clusters has evolved from a facility issue into a critical computational bottleneck. In distributed high-performance computing (HPC), model synchronization relies on deterministic communication barriers, such as the NCCL Ring-AllReduce protocol. However, traditional systems engineering artificially separates mechanical infrastructure from silicon-level algorithmic execution. As Part II of the Data Physics & Cyber-Physical Systems series, this paper introduces the TACE-Alg (Thermo-Algorithmic Control & Execution) framework, establishing that hydrodynamic stability is a fundamental unit test for the modern AI software stack. We demonstrate how localized hydraulic anomalies-such as micro-cavitation or gas phase entrainment-provoke hardware-level clock throttling (DVFS), directly transforming physical fluid instabilities into cluster-wide logical delays known as the "Straggler Effect." 2. The 100 Hz Telemetry Solution & Operational Scope. To bridge this gap, TACE-Alg utilizes 100 Hz piezoelectric telemetry within the Coolant Distribution Unit (mCDU). This specific frequency window bypasses high-pitched ultrasonic noise, acting as an ultra-fast dynamic barometer to capture macro-scale bulk modulus degradation and gas void fractions (alpha_void) before they induce a surge in silicon junction temperatures System Scope & Boundary Conditions: Crucially, the TACE-Alg framework is engineered to model non-linear dynamic coupling during transient states, operational anomalies, and hydraulic loops with compromised deaeration. It specifically addresses Henry's Law gas desorption, static pressure drops, and micro-cavitation. By explicitly targeting these real-world, turbulent vulnerabilities rather than idealized, steady-state laboratory conditions, this framework definitively neutralizes the "steady-state fallacy" of conventional passive cooling models, providing a robust engineering solution for dynamic power density environments exceeding 100 kW per rack. 3. Proactive Hydraulic Control & Execution Determinism. Standard reactive cooling algorithms typically increase pump RPM when temperatures rise, an action that inadvertently lowers suction pressure and exacerbates micro-cavitation in the microchannels. TACE-Alg executes a counter-intuitive, proactive response: it reduces pump RPM or opens bypass circuits to increase static suction pressure. This restores the Net Positive Suction Head (NPSH_a) and condenses vapor pockets back into the liquid phase. By mapping this physical intervention to the algorithmic execution time path integral (t_exec), we prove that preventing localized phase transitions in a single microchannel prevents multi-thousand-node GPU clusters from stalling at collective communication barriers. 4. Industrial Implementation & Licensing The framework translates theoretical physics into pragmatic industrial application. TACE-Alg is designed for seamless integration into standard commodity Programmable Logic Controllers (e.g., Siemens S7, Beckhoff) utilizing a 10 ms cyclic interrupt for continuous moving variance calculations, entirely bypassing the need for expensive DSP processors. The system is validated by object-oriented Python digital twins that confirm pre-emptive anomaly detection with a 300–800 ms lead time. The original PDF files attached to the respective Zenodo records have deliberately not been modified or re-issued, preserving their cryptographic qualified timestamp and digital signature (Profil Zaufany). This guarantees full Legal Continuity, Data Integrity, and Unalterable Patent/Scientific Priority (Prior Art) based on the original file checksums. Title updates and standardization under the Data Physics & Cyber-Physical Systems (Parts I–IV) monographic umbrella have been applied exclusively to the digital metadata layer (DataCite/Zenodo metadata) to optimize academic citation indexing without compromising the evidentiary integrity of the source documents.