Microbenchmark Based Performance Evaluation of GPU Rendering-Reference-Cited by-同舟云学术

Microbenchmark Based Performance Evaluation of GPU Rendering

Published:2015 Issue: Volume: Page:407-415
ISSN:
Container-title:Emerging Research in Computing, Information, Communication and Applications
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Author:

Navik Ankit P.,Zaveri Mukesh A.,Murthy Sristi Vns,Dawarwadikar Manoj

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2550-8_39

Reference11 articles.

1. Lee, J.K., Lee, J.Y.: Android programming techniques for improving performance. In: Proceedings of 2011 3rd International Conference on Awareness Science and Technology (iCAST), pp. 386–389 (2011)

2. Akenine-Möller, T., Haines, E., Hoffman, N., Akenine-Moller, T.: Real-Time Rendering, 3rd edn., vol. 85, p. 1047. Taylor & Francis Ltd (2008)

3. Tang, K.: Research and development of test platform for 3d real-time rendering algorithm. In: Proceedings of 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, vol. 3, pp. 144–147 (2011)

4. “What is GPU Computing? | High-Performance Computing | NVIDIA | NVIDIA.” [Online]. http://www.nvidia.com/object/what-is-gpu-computing.html (2014). Accessed 27 Dec 2014

5. Munshi, A., Ginsburg, D., Shreiner, D.: OpenGL ES 2.0 Programming Guide. Pearson Education, p. 417 (2009)

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