C1R: Systematic Hardware Architecture and Complexity Reduction

Dedicated hardware accelerators developed during C1R typically offer significant energy savings compared to software-based execution. 5. Conclusion

Allowing idle modules to power down during non-active cycles.

The C1R phase is indispensable for moving from a theoretical "Hardware.mp4" concept to a functional silicon chip. By focusing on dataflow partitioning and memory localization, C1R ensures that the final hardware is not only high-performing but also commercially viable in terms of power and cost.

The C1R process involves several distinct layers of optimization:

Analyzing the algorithm to identify bottlenecks.

Increasing parallelism increases the number of logic gates.

The C1R (Complexity 1 Reduction/Release) phase represents a critical bridge between high-level algorithmic modeling and physical hardware realization. This paper explores the methodologies used in the C1R stage to transform sequential video processing code into parallelized, hardware-friendly Register Transfer Level (RTL) specifications. We focus on memory optimization, dataflow partitioning, and power-aware design. 1. Introduction