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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark

Author 1: Hao Do-Duc Author 2: Vinh Ngo-Quang
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070762

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Abstract

When designing a chip multiprocessors, we use Splash2 to estimate its performance. This benchmark contains eleven applications. The performance when running them is similar, except Raytrace. We analyse it to clarity why the performance is not good. We discover, in theory, Raytrace never reuses data. This leads the fact that the performance is not good due to the low hit ratio in data cache.

Keywords

Chip multiprocessors benchmark ray tracing reflection intensity ray-Tree

How to Cite this Article

Do-Duc, H., & Ngo-Quang, V. (2016). Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070762

Do-Duc, Hao, and Vinh Ngo-Quang. "Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://doi.org/10.14569/IJACSA.2016.070762.

@article{Do-Duc2016,
  title     = {Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Hao Do-Duc and Vinh Ngo-Quang},
  doi       = {10.14569/IJACSA.2016.070762},
  url       = {https://doi.org/10.14569/IJACSA.2016.070762}
}

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