8832

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon
Physics and Computer Architecture Department, Miguel Hernandez University, Elche, Spain
International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2012
@article{galiano2012gpu,

   title={GPU-based 3D Wavelet Transform},

   author={Galiano, V. and L{‘o}pez, O. and Malumbres, M.P. and Migall{‘o}n, H.},

   year={2012}

}

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Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the 3D-DWT transform on both the GTX280 and the GMT540 platforms. The results obtained show that speed-ups of 19.7 and 10.65 on average can be obtained for the GTX280 and GMT540 platforms respectively when only the GPU’s global memory is used. Moreover, Speed-ups increase considerably to 87 and 25 when the shared memory in the device is used optimizing the memory access to avoid idle threads. Futhermore, we discuss speed-up evolution depending on the group of pictures size (GOP).
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