Title :
Stream-based parallel computation for discrete wavelet transform by using graphics hardware
Author_Institution :
Sch. of Commun. & Inf. Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Abstract :
The discrete wavelet transform (DWT) has been widely used in various scientific and engineering fields. However, the enormous computation of DWT caused by multilevel filtering/down-sampling is a bottleneck that limits the application of DWT used in real-time environment where the data size is large. A stream-based parallel computation framework to accelerate the implementation of DWT is presented in this paper, which is based on employing the consumer-level programmable graphics hardware. Simulation results show that, this stream-based parallel computation framework can achieve a significant performance gain on algorithm acceleration comparing with those completely CPU-based solutions for DWT.
Keywords :
computer graphic equipment; coprocessors; discrete wavelet transforms; mathematics computing; parallel processing; consumer-level programmable graphics hardware; discrete wavelet transform; down-sampling; general purpose graphics processing unit; multilevel filtering; stream-based parallel computation; Discrete wavelet transforms; Filtering; Graphics processing unit; Hardware; Kernel; Streaming media; discrete wavelet transform; graphics hardware; parallel computation;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6013665