article · 2011

GPU programming in a high level language

Dave Cunningham, Rajesh Bordawekar, Vijay Saraswat

Cited by 66Abstract and details only

Abstract

GPU architectures have emerged as a viable way of considerably improving performance for appropriate applications. Program fragments (kernels) appropriate for GPU execution can be implemented in CUDA or OpenCL and glued into an application via an API.

Cite this paper

APA 7

Cunningham, D., Bordawekar, R., & Saraswat, V. (2011). GPU programming in a high level language. https://doi.org/10.1145/2212736.2212744

MLA 9

Cunningham, Dave, et al. “GPU programming in a high level language.” 2011, pp. 1–10, https://doi.org/10.1145/2212736.2212744.

Chicago

Cunningham, Dave, Rajesh Bordawekar, and Vijay Saraswat. 2011. “GPU programming in a high level language.” https://doi.org/10.1145/2212736.2212744.

Harvard

Cunningham, D., Bordawekar, R. and Saraswat, V. (2011) ‘GPU programming in a high level language’. Available at: https://doi.org/10.1145/2212736.2212744.

BibTeX

@article{cunningham2011programming,
  title = {{GPU programming in a high level language}},
  author = {Cunningham, Dave and Bordawekar, Rajesh and Saraswat, Vijay},
  pages = {1--10},
  year = {2011},
  doi = {10.1145/2212736.2212744}
}

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