Chiplet Arrangement Modeling for Reconfigurable Hardware-Software Integration

The patent applies segmentation by dividing the monolithic chip design into separate chiplet modules that can be independently designed, manufactured, and configured. Each chiplet represents a functional segment that can be selectively activated or deactivated, enabling flexible system reconfiguration without redesigning the entire chip architecture.

The patent implements dynamics through runtime reconfiguration capabilities where chiplet arrangements can be dynamically modified based on workload requirements. The system allows for changing the active chiplet configuration during operation, enabling adaptability to different computational tasks without physical hardware changes.

The patent applies universality by creating a standardized chiplet interface and communication protocol that enables different chiplet types to work together in a unified architecture. The universal interface allows various functional chiplets (accelerators, memory, I/O) to be interchangeably configured, simplifying integration while maintaining scalability.

The patent introduces an intermediary layer (interposer or interface controller) that manages communication and coordination between multiple chiplets. This intermediary handles the complexity of inter-chiplet interactions, allowing individual chiplets to remain simple while the system achieves complex functionality through coordinated operation.

The patent implements dynamic resource allocation where chiplet functions can be reconfigured based on runtime workload requirements. Hardware resources are not permanently dedicated but can be dynamically assigned to different functions, maintaining high performance for current tasks while enabling efficient utilization across varying workloads through reconfiguration.

The patent applies parameter changes by modifying the operational state of chiplet resources rather than their physical configuration. Through changing control parameters and activation states, the same hardware resources can be optimized for different functions, achieving both performance optimization and efficient utilization without physical reconfiguration.