Technical Report : GIT-CERCS-09-06 A Characterization and Analysis of GPGPU Kernels

@inproceedings{Kerr2009TechnicalR,
  title={Technical Report : GIT-CERCS-09-06 A Characterization and Analysis of GPGPU Kernels},
  author={Andrew Kerr and Gregory Frederick Diamos and Sudhakar Yalamanchili},
  year={2009}
}
General purpose application development for GPUs (GPGPU) has recently gained momentum as a cost-effective approach for accelerating dataand compute-intensive applications, pushed to the forefront by the introduction of Cbased programming environments such as NVIDIA’s CUDA, [1], OpenCL [2], and Intel’s Ct [3]. While significant effort has been focused on developing and evaluating applications and software tools, comparatively little has been devoted to the analysis and characterization of… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Vsipl 1.3 api

  • D. Schwartz, R. Judd, W. Harrod, D. Manley
  • VSIPL Forum, Tech. Rep., 2008.
  • 2008
Highly Influential
13 Excerpts

Parallel Prefix Sum (Scan) in CUDA

  • M. Harris, S. Sengupta, J. Owens
  • Addison Wesley,
  • 2007
Highly Influential
9 Excerpts

Ct: A flexible parallel programming model for tera-scale architectures

  • A. Ghuloum, E. Sprangle, J. Fang, G. Wu, X. Zhou
  • Intel Technology Journal, vol. 11, no. 4, October…
  • 2007
2 Excerpts

Similar Papers

Loading similar papers…