Detecting point sources in CMB maps using an efficient parallel algorithm
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Publication:431959
DOI10.1007/s10910-011-9936-yzbMath1244.92067OpenAlexW2084695618WikidataQ62618218 ScholiaQ62618218MaRDI QIDQ431959
Pedro Alonso, José Ranilla, Raquel Cortina, Antonio M. Vidal, Francisco Argüeso
Publication date: 3 July 2012
Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10910-011-9936-y
Chemistry (92E99) Computing methodologies and applications (68U99) Parallel algorithms in computer science (68W10) Astrophysical cosmology (85A40)
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Non-linear parallel solver for detecting point sources in CMB maps using Bayesian techniques ⋮ Multi-objective optimization of chemical reaction conditions based on a kinetic model
Uses Software
Cites Work
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- Increasing data locality and introducing level-3 BLAS in the neville elimination
- An efficient and scalable block parallel algorithm of Neville elimination as a tool for the CMB maps problem
- Blocking Neville elimination algorithm for exploiting cache memories
- Efficient inversion of Toeplitz-block Toeplitz matrix
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