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GTC ON-DEMAND

Astronomy & Astrophysics
Presentation
Media
CU-LSP: GPU-based Spectral Analysis of Unevenly Sampled Data
Speakers:
Richard Townsend
- University of Wisconsin-Madison
Abstract:
Standard FFT algorithms cannot be applied to spectral analysis of unevenly sampled data. Alternative approaches scale as O(N^2), making them an ideal target for harnessing the raw computing power of GPUs. To this end, I have developed CU-LSP, a CUDA spectral analysis code based on the Lomb-Scargle periodogram. Preliminary benchmarking indicates impressive speed-ups, on the order of 400 relative to a single core of a modern CPU. An initial application of CU-LSP will be the analysis of time-series data from planet-search and asteroseismology satellites.
 
Topics:
Astronomy & Astrophysics, Developer - Algorithms, Signal and Audio Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
S102082
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