An improved scheduling algorithm for 3D cluster rendering with platform LSF

Wenli Xu; Yi Zhu; Liping Zhang

doi:10.1117/12.2041569

27 October 2013 An improved scheduling algorithm for 3D cluster rendering with platform LSF

Wenli Xu, Yi Zhu, Liping Zhang

Proceedings Volume 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing; 892009 (2013) https://doi.org/10.1117/12.2041569
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

High-quality photorealistic rendering of 3D modeling needs powerful computing systems. On this demand highly efficient management of cluster resources develops fast to exert advantages. This paper is absorbed in the aim of how to improve the efficiency of 3D rendering tasks in cluster. It focuses research on a dynamic feedback load balance (DFLB) algorithm, the work principle of load sharing facility (LSF) and optimization of external scheduler plug-in. The algorithm can be applied into match and allocation phase of a scheduling cycle. Candidate hosts is prepared in sequence in match phase. And the scheduler makes allocation decisions for each job in allocation phase. With the dynamic mechanism, new weight is assigned to each candidate host for rearrangement. The most suitable one will be dispatched for rendering. A new plugin module of this algorithm has been designed and integrated into the internal scheduler. Simulation experiments demonstrate the ability of improved plugin module is superior to the default one for rendering tasks. It can help avoid load imbalance among servers, increase system throughput and improve system utilization.

Citation Download Citation

Wenli Xu, Yi Zhu, and Liping Zhang "An improved scheduling algorithm for 3D cluster rendering with platform LSF", Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 892009 (27 October 2013); https://doi.org/10.1117/12.2041569

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