Parallelization of Adaboost Algorithm on Intel MIC Architecture
Haibiao Luo, Haojie Yuan, Shendong Cheng, Ying Li, Feng Yuan, Mingzhu Wei
Available Online January 2016.
- https://doi.org/10.2991/icaita-16.2016.61How to use a DOI?
- Intel MIC; adaboost; parallel computation
- The Adaboost algorithm plays important role in many machine learning applications. But the computation cost is real expensive when the candidate features are in large amount. In this paper, we introduce a parallel strategy of the Adaboost algorithm on Intel CPU+MIC system, where Intel MIC works as a coprocessor. Open MP directive was used to parallelize the program in both CPU and MIC. The paper achieved a speedup of 5.2 on CPU+MIC with respect to CPU alone.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Haibiao Luo AU - Haojie Yuan AU - Shendong Cheng AU - Ying Li AU - Feng Yuan AU - Mingzhu Wei PY - 2016/01 DA - 2016/01 TI - Parallelization of Adaboost Algorithm on Intel MIC Architecture BT - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications PB - Atlantis Press SP - 248 EP - 250 SN - 1951-6851 UR - https://doi.org/10.2991/icaita-16.2016.61 DO - https://doi.org/10.2991/icaita-16.2016.61 ID - Luo2016/01 ER -