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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.
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.
Hao Do-Duc and Vinh Ngo-Quang, “Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.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},
doi = {10.14569/IJACSA.2016.070762},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070762},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Hao Do-Duc and Vinh Ngo-Quang}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.