OpenCL as a Programming Model for GPU Clusters

  • Jungwon Kim
  • Sangmin Seo
  • Jun Lee
  • Jeongho Nah
  • Gangwon Jo
  • Jaejin Lee
Conference paper

DOI: 10.1007/978-3-642-36036-7_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7146)
Cite this paper as:
Kim J., Seo S., Lee J., Nah J., Jo G., Lee J. (2013) OpenCL as a Programming Model for GPU Clusters. In: Rajopadhye S., Mills Strout M. (eds) Languages and Compilers for Parallel Computing. LCPC 2011. Lecture Notes in Computer Science, vol 7146. Springer, Berlin, Heidelberg

Abstract

In this paper, we propose an OpenCL framework for GPU clusters. The target cluster architecture consists of a single host node and multiple compute nodes. They are connected by an interconnection network, such as Gigabit and InfiniBand switches. Each compute node consists of multiple GPUs. Each GPU becomes an OpenCL compute device. The host node executes the host program in an OpenCL application. Our OpenCL framework provides an illusion of a single system for the user. It allows the application to utilize GPUs in a compute node as if they were in the host node. No communication API, such as the MPI library, is required in the application source. We show that the original OpenCL semantics naturally fits to the GPU cluster environment, and the framework achieves both high performance and ease of programming. We implement the OpenCL framework and evaluate its performance on a GPU cluster that consists of one host and eight compute nodes using six OpenCL benchmark applications.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jungwon Kim
    • 1
  • Sangmin Seo
    • 1
  • Jun Lee
    • 1
  • Jeongho Nah
    • 1
  • Gangwon Jo
    • 1
  • Jaejin Lee
    • 1
  1. 1.Center for Manycore Programming School of Computer Science and EngineeringSeoul National UniversitySeoulKorea

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