Efficient computation of spherical harmonic transform using parallel architecture of CUDA
Spherical harmonics serve as basis functions on the unit sphere and spherical harmonic transform is required in analysis and processing of signals in the spectral domain. We investigate the possibility of parallel computation of spherical harmonic transform using Compute Unified Device Architecture (CUDA) with no communication between parallel kernels. We identify the parallel components in the widely used spherical harmonic transform method proposed by Driscoll and Healy. We provide the...[Show more]
|Collections||ANU Research Publications|
|Source:||International Conference on Signal Processing and Communication Systems (ICSPCS 2011) proceedings|
|01_Huang_Efficient_computation_of_2011.pdf||145.28 kB||Adobe PDF||Request a copy|
|02_Huang_Efficient_computation_of_2011.pdf||247.04 kB||Adobe PDF||Request a copy|
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