Increasing parallelism increases the number of logic gates.
Modern video codecs demand extreme throughput that general-purpose processors cannot provide efficiently. The is the point in the hardware development lifecycle where the "Golden Reference" algorithm is refined for hardware constraints. The goal is to reduce computational complexity without sacrificing the peak signal-to-noise ratio (PSNR) required by the video standard . 2. The C1R Design Flow C1R - Hardware.mp4
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 Increasing parallelism increases the number of logic gates
Reducing long-wire delays by keeping data movement within local sub-modules. The goal is to reduce computational complexity without