Performance Modeling for Multi-Node Computing Systems

The patent creates a performance model that copies the essential characteristics of the computing system's hardware and software components. Instead of executing actual code on each component, the model replicates the system's behavior through virtualized performance parameters, allowing prediction without physical execution. This copying approach maintains prediction accuracy while eliminating the time cost of actual code execution for each component.

The patent replaces the mechanical execution of actual code on hardware components with a mathematical modeling approach. The performance model uses formulas and algorithms to calculate execution times and resource consumption based on system specifications, substituting the physical act of code execution with computational mathematics. This substitution eliminates the need for actual code execution while preserving the ability to predict performance accurately.

The performance model creates a virtual representation of the computing system that copies essential performance characteristics without requiring physical hardware execution. By replicating system behavior through modeled parameters and relationships, the approach eliminates the need for energy-intensive actual code execution and simulation on physical components, significantly reducing energy resource consumption while maintaining prediction accuracy.

The patent substitutes energy-consuming physical code execution and hardware simulation with mathematical calculations performed by the performance model. The model uses computational mathematics to predict resource consumption and execution times based on system specifications, replacing the mechanical process of actual code execution with low-energy mathematical operations. This substitution dramatically reduces processing costs and energy resource requirements.

The performance model is designed with universal applicability across multiple nodes and different computing system configurations. The model uses generalized parameters and relationships that can be applied to any node in the system, allowing it to function as a multi-purpose tool for predicting performance across single or multiple nodes simultaneously. This universality enables the model to adapt to various system architectures and scaling scenarios without requiring node-specific customization.

The patent transitions from one-dimensional sequential node analysis to multi-dimensional parallel analysis. The performance model can evaluate multiple nodes simultaneously by incorporating spatial relationships and inter-node communication parameters into the mathematical framework. This dimensional expansion allows the model to handle complex multi-node systems where nodes interact through networks and shared resources, enabling comprehensive system-wide performance prediction rather than simple accumulation of individual node times.