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Parallelism exploration for 3D high-efficiency video coding depth modeling mode one

机译:3D高效视频编码深度建模模式的平行探索

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This article presents a parallelism exploration over the depth modeling mode 1 (DMM-1) encoding algorithm of the 3D high-efficiency video coding (3D-HEVC) standard and applied the proposed solutions in a multicore central processing unit (CPU) and two graphics processor unities (GPU). The article evaluates efficient parallel algorithms for DMM-1, which also take advantage of simplifications proposed in our previous works. We demonstrate that DMM-1 can obtain a scalable speedup when running in systems with several available cores even when simplifications are being applied. Experimental results for 1920 x 1088 resolution videos show that the proposed parallel algorithms achieved up to 2 frames per second (fps) in a four-cores (with eight threads) CPU and more than 30 fps in two different GPUs. Therefore, the speedup attained with GPU enables real-time 3D-video encoding applying the proposed parallelism strategies together with the DMM-1 proposed simplifications.
机译:本文介绍了3D高效视频编码(3D-HEVC)标准的深度建模模式1(DMM-1)编码算法的平行探索,并应用了多芯中央处理单元(CPU)和两个图形中提出的解决方案处理器团结(GPU)。文章评估了DMM-1的有效并行算法,这也利用了我们以前的作品中提出的简化。我们展示DMM-1即使应用简化时,DMM-1也可以在具有多种可用核心的系统中运行时获得可扩展的加速。对于1920 x 1088的实验结果,解决方案视频表明,所提出的并行算法在四个核(带八个线程)CPU中最多可达2帧(FPS),并且在两个不同的GPU中超过30 fps。因此,使用GPU获得的加速使得能够与DMM-1一起应用所提出的并行策略的实时3D视频编码。

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