Mapping and optimizing a software-only real-time mpge-2 video encoder on vliw architectures

• Main Author: Lee, Henry
• Format: Others
• Language: English
• Published: 2009
• Online Access: http://hdl.handle.net/2429/10276

MAPPING AND OPTIMIZING A SOFTWARE-ONLY REAL-TIME Due to its high computational demand, MPEG-2 video coding solutions have been based mainly on custom hardware (ASIC) systems. Such systems lack the flexibility and adaptability of software-based solutions. Achieving real-time MPEG-2 video encoding in software remains to be a major challenge. A typical MPEG-2 encoder performs 20 to 30 GOPS (giga operations per second), which exceeds the capabilities of the most advanced contemporary processors. In this thesis, we have developed and tested a highly optimized, low complexity, highquality MPEG-2 video encoder software based on Texas Instruments' fixed-point TMS320C6201 VLiW (Very Long Instruction Word) processor. First, we developed MPEG-2 video encoder software written in C for the C62x processor platform, however, due to the difference in the processor architecture, optimization and modification are done on the software to ensure the MPEG-2 video encoder runs efficiently in the VLIW architecture. The optimization are done at the assembly language level to maximize the attainable instruction-level parallelism (ILP) of the C62x VLIW architecture. In our experience, optimizations done alone by the optimizing Ccompiler of the C62x could not meet the real-time requirements of MPEG-2. After code remapping and optimization, the resulting MPEG-2 video encoder implementation runs approximately 32 times faster than the original unoptimized MPEG-2 video encoder. Moreover, the current version of the encoder can handle SIF(320x240) video format at 16 frames per second with both I and P pictures, and CCIR-601 (720x480) at 15 frames per second for the I pictures only. Our real-time MPEG-2 encoder has been implemented and tested on the C62x Evaluation Model (EVM) board from TI. === Applied Science, Faculty of === Electrical and Computer Engineering, Department of === Graduate