Academic
Publications
Parallelizing Hilbert-Huang Transform on a GPU

Parallelizing Hilbert-Huang Transform on a GPU,10.1109/IC-NC.2010.44,Pulung Waskito,Shinobu Miwa,Yasue Mitsukura,Hironori Nakajo

Parallelizing Hilbert-Huang Transform on a GPU   (Citations: 1)
BibTex | RIS | RefWorks Download
In this paper, we show parallel implementation of Hilbert-Huang Transform on GPU. This implementation focused on the reducing the computation complexity from O(N) on a single CPU to O(N/P log (N)) on GPU, as well as the use of 'shared-global' switching method to increase performance. Evaluation results show our single GPU implementation using Tesla C1060 achieves 29.0x speedup in best case, and a total of 7.1x speedup for all results when compared to a single Intel dual core CPU.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: