Beyond Heat Removal: Controlling Irreversibility in Semiconductor Computation
Abstract
Modern semiconductor performance is increasingly limited not by computation, but by heat generated through irreversible data movement and logic operations. This paper reframes thermal runaway as a thermodynamic control problem, arguing that heat is not merely waste but a diagnostic signal of irreversible information processing. Drawing an analogy to the transition from incandescent bulbs to solid-state lighting, the work shows why improving heat removal alone cannot sustain future scaling. By introducing a local ΔT-based irreversibility control framework, the paper explains how existing technologies—particularly photonic interconnects—can be reinterpreted as mechanisms to delay or avoid thermodynamic commitment rather than merely reduce power. Without proposing new materials or fabrication processes, the framework offers a practical path toward cooler, more efficient, and sustainable computing architectures with implications for AI hardware, mobile devices, and long-term semiconductor supply-chain resilience. Just as solid-state lighting replaced heat-driven illumination by changing the physical mechanism of light production, this work argues that sustainable computing requires changing how information is moved and processed rather than improving heat removal alone.
Fields of Study & Subjects
Parallel Computing and Optimization Techniques
Advanced Thermodynamics and Statistical Mechanics
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026
- Language
- EN
- Document type
- Preprint