Cross-Platform Eco-Compute: An Abstracted Hardware and Software Optimization Framework for Computers and Mobile Devices

As global computational demand scales across personal computers and mobile devices, energy overhead and localized thermal pollution have reached critical thresholds. This paper outlines an abstracted optimization framework developed at XR6 Labs that bridges the gap between hardware execution layers and eco-centric software control. By isolating proprietary zero-trust mechanics, this research presents high-level structural paradigms required to achieve significant reductions in energy consumption while maintaining optimal processing yields across desktop and mobile architectures. The framework bypasses standard, reactive power-throttling by implementing proactive, hardware-aware allocation logic, dynamic component-level thermal balancing, and operational sandboxing to suppress idle power bleed. Abstracted empirical models demonstrate a >70% improvement in mobile idle power bleed, a 35% reduction in desktop thermal overhead under load, and a 40% increase in processing yield per watt, establishing a scalable model for computational sustainability.