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arXiv · 2208.10154

Accelerating spherical harmonic transforms for a large number of sky maps

Chi Tian·Siyu Li·Hao Liu
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Abstract

The spherical harmonic transform is a powerful tool in the analysis of spherical data sets, such as the cosmic microwave background data. In this work, we present a new scheme for the spherical harmonic transforms that supports both CPU and GPU computations, which is specially efficient on a large number of sky maps. By comparing our implementation with the standard Libsharp-HEALPix program, we demonstrate 2-10 times speedup for the CPU implementation, and up to 30 times speedup when a state-of-the-art GPU is employed. This new scheme's software package is available via an open source GitHub repository.

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Chi Tian, Siyu Li, Hao Liu. 2022-08-22. Accelerating spherical harmonic transforms for a large number of sky maps. https://doi.org/10.3847/1538-4365%2Fac958b

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