Research on Multi-CPU and Multi-GPU Scalable Parallel Rendering on Shared Memory Architecture

DOI

10.2991/iccasm.2012.370How to use a DOI?

Keywords

Multi-GPU, Parallel Rendering, Scalable Rendering, Composition,

Abstract

As the performance-price ratio of a GPU becoming high, lots of systems may have more than one GPU in a node. Every GPU in a node has the strong ability to render, and it is very important to effectively organize the parallel rendering pipeline to fully exploit the compute units of the system. However lots of parallel rendering systems couple the hardware rendering stage with the composition stage in the display thread and this will make GPUs stall. In this paper, we describe a parallel rendering approach which enables the two stages to execute in parallel. With the frame buffer in the main memory, the full image rendering time totally lies on the GPU rendering ability when the rendering task is large enough. The experiments show that our method performance are much better than that of the existing methods. And we also test the scalable ability and get a linear performance speedup with the GPU number when the rendering task is large enough. Any parallel rendering application can benefit from the decoupled parallel rendering approach.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huahai Liu
AU  - Pan Wang
AU  - Sikun Li
AU  - Xun Cai
AU  - Liang Zeng
PY  - 2012/08
DA  - 2012/08
TI  - Research on Multi-CPU and Multi-GPU Scalable Parallel Rendering on Shared Memory Architecture
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1447
EP  - 1450
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.370
DO  - 10.2991/iccasm.2012.370
ID  - Liu2012/08
ER  -