4. GPU Acceleration of Video Coding

GPU Acceleration of H.264 / MPEG-4 AVC Software Video Encoder

H.264 / MPEG-4 AVC encoding of high-resolution video is still a heavy task for today's high-end PCs. To accelerate the H.264 software encoder, we utilize many-core GPU (Graphics Processing Unit). Because spatial and temporal data dependencies between macroblocks (MBs) limit the MB-level parallel processing, we propose a relaxation method of inter-MB dependencies and a frame-pipelining to obtain...

Acceleration of Reconfigurable Video Coding Using New Parallel Architectures

In this paper we present a novel technique to accelerate reconfigurable video coding with parallel architectures. We focus on the use of the Graphics Processing Unit (GPU) as our platform for parallel processing but the algorithm can be implemented on other parallel architectures. Implementation of the solution shows that execution time is reduced 16-60% depending on the decoder module implemen...

LHCb GPU acceleration project

The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb’s existing computation pipelines with massively parallel algorithms running on GPUs and oth...

GPU Acceleration of Iterative Clustering

Iterative clustering algorithms based on Lloyds algorithm (often referred to as the k-means algorithm) have been used in a wide variety of areas, including graphics, computer vision, signal processing, compression, and computational geometry. We describe a method for accelerating many variants of iterative clustering by using programmable graphics hardware to perform the most computationally ex...

4 Rate Control in Video Coding