Cache-Aware Profiling for HEVC Encoders
نویسندگان
چکیده
In this work we present a framework that profiles HEVC (High Efficiency Video Coding) encoders modules focusing on cache memory performance and energy. This framework considers the HEVC reference software (HM) and analyzes the impact of some coding parameters on the cache hierarchy. HEVC was proposed in 2013, presenting new video coding techniques to deal with the demand for higher resolutions. The tools included in the HEVC increase significantly the computational effort and energy consumption required to encode videos when compared to its predecessor, H.264/AVC. In this paper, we propose a methodology to investigate the cache memory behavior of the HEVC encoder, called MAP-HEVC (Memory Access Profiling for HEVC). The simulations have been conducted considering different video coding configurations and resolutions. In the prediction module results, regarding Test Zonal Search algorithm, the Squared pattern can improve the coding efficiency by 3.9% when compared to the Diamond search pattern. The analysis also indicates that using 16x16 search ranges is an interesting alternative to reduce the memory accesses achieving a better compression. For the residual coding, the Rate-Distortion Optimized Quantization (RDOQ) was evaluated and our investigations showed that this tool adds 10% more accesses to the cache memory. Keywords—Video Coding, HEVC, Cache Memories
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