On the Performance and Scalability of a GPU-Limited Commodity Cluster

  • Authors:
  • Jorge Luis Williams;Robert E. Hiromoto

  • Affiliations:
  • University of Idaho,;University of Idaho,

  • Venue:
  • ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
  • Year:
  • 2008

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Abstract

Most cluster-based rendering systems require at least one graphics processing unit (GPU) per node. However, there are many cluster systems which contain thin rack-mounted nodes that do not support GPUs. In this paper, we explore the utilization of such a system by combining it with a small commodity off-the-shelf tile rendering cluster. We call this a GPU-limited cluster because only those nodes responsible for rendering a tile contain GPUs. We examine the performance of sort-first, sort-middle, and sort-last approaches on a GPU-limited cluster with a six tile display system. Issues of cluster scalability and efficient utilization of nodes are also discussed.