An Adaptive Algorithm of K-means on HSA Platform
Zhenshan Bao, Qi Luo, Wenbo Zhang
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.33How to use a DOI?
- Heterogeneous computing, HSA, K-means, workload division
- With the growing demand for high performance computing, heterogeneous system, based on CPU-GPU architecture, were widely applied because of its higher processing capacity. To reduce the communication latency between CPUs and GPUs or other agents, HSA (Heterogeneous System Architecture) Foundation proposed a kind of an open industry standards body. In this paper, we designed the K-means algorithm on Kaveri APU, which complied with HSA standard, and optimized it into an adaptive one to obtain high utilization effect of both CPU and GPU. Experimental results show that our adaptive algorithm gets a 45.2% average decrease in overall execution time.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhenshan Bao AU - Qi Luo AU - Wenbo Zhang PY - 2016/08 DA - 2016/08 TI - An Adaptive Algorithm of K-means on HSA Platform BT - 2016 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/cset-16.2016.33 DO - https://doi.org/10.2991/cset-16.2016.33 ID - Bao2016/08 ER -