GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework

 

Show simple item record

dc.contributor.advisor Marais, Patrick en_ZA
dc.contributor.advisor Kuttel, Michelle Mary en_ZA
dc.contributor.author Baxter, Richard Jonathan en_ZA
dc.date.accessioned 2014-08-20T19:42:03Z
dc.date.available 2014-08-20T19:42:03Z
dc.date.issued 2013 en_ZA
dc.identifier.citation Baxter, R. 2013. GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/6646
dc.description.abstract Modern radio interferometer arrays are powerful tools for obtaining high resolution images of low frequency electromagnetic radiation signals in deep space. While single dish radio telescopes convert the electromagnetic radiation directly into an image of the sky (or sky intensity map), interferometers convert the interference patterns between dishes in the array into samples of the Fourier plane (UV-data or visibilities). A subsequent Fourier transform of the visibilities yields the image of the sky. Conversely, a sky intensity map comprising a collection of point sources can be subjected to an inverse Fourier transform to simulate the corresponding Point Source Visibilities (PSV). Such simulated visibilities are important for testing models of external factors that affect the accuracy of observed data, such as radio frequency interference and interaction with the ionosphere. MeqTrees is a widely used radio interferometry calibration and simulation software package that contains a Point Source Visibility module. Unfortunately, calculation of visibilities is computationally intensive: it requires application of the same Fourier equation to many point sources across multiple frequency bands and time slots. There is great potential for this module to be accelerated by the highly parallel Single-Instruction-Multiple-Data (SIMD) architectures in modern commodity Graphics Processing Units (GPU). With many traditional high performance computing techniques requiring high entry and maintenance costs, GPUs have proven to be a cost effective and high performance parallelisation tool for SIMD problems such as PSV simulations. This thesis presents a GPU/CUDA implementation of the Point Source Visibility calculation within the existing MeqTrees framework. For a large number of sources, this implementation achieves an 18x speed-up over the existing CPU module. With modications to the MeqTrees memory management system to reduce overheads by incorporating GPU memory operations, speed-ups of 25x are theoretically achievable. Ignoring all serial overheads, and considering only the parallelisable sections of code, speed-ups reach up to 120x. en_ZA
dc.language.iso eng en_ZA
dc.title GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Computer Science en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Baxter, R. J. (2013). <i>GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/6646 en_ZA
dc.identifier.chicagocitation Baxter, Richard Jonathan. <i>"GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2013. http://hdl.handle.net/11427/6646 en_ZA
dc.identifier.vancouvercitation Baxter RJ. GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6646 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Baxter, Richard Jonathan AB - Modern radio interferometer arrays are powerful tools for obtaining high resolution images of low frequency electromagnetic radiation signals in deep space. While single dish radio telescopes convert the electromagnetic radiation directly into an image of the sky (or sky intensity map), interferometers convert the interference patterns between dishes in the array into samples of the Fourier plane (UV-data or visibilities). A subsequent Fourier transform of the visibilities yields the image of the sky. Conversely, a sky intensity map comprising a collection of point sources can be subjected to an inverse Fourier transform to simulate the corresponding Point Source Visibilities (PSV). Such simulated visibilities are important for testing models of external factors that affect the accuracy of observed data, such as radio frequency interference and interaction with the ionosphere. MeqTrees is a widely used radio interferometry calibration and simulation software package that contains a Point Source Visibility module. Unfortunately, calculation of visibilities is computationally intensive: it requires application of the same Fourier equation to many point sources across multiple frequency bands and time slots. There is great potential for this module to be accelerated by the highly parallel Single-Instruction-Multiple-Data (SIMD) architectures in modern commodity Graphics Processing Units (GPU). With many traditional high performance computing techniques requiring high entry and maintenance costs, GPUs have proven to be a cost effective and high performance parallelisation tool for SIMD problems such as PSV simulations. This thesis presents a GPU/CUDA implementation of the Point Source Visibility calculation within the existing MeqTrees framework. For a large number of sources, this implementation achieves an 18x speed-up over the existing CPU module. With modications to the MeqTrees memory management system to reduce overheads by incorporating GPU memory operations, speed-ups of 25x are theoretically achievable. Ignoring all serial overheads, and considering only the parallelisable sections of code, speed-ups reach up to 120x. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework TI - GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework UR - http://hdl.handle.net/11427/6646 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record