Graphics Card Computing for Cosmology: Cholesky Factorization

Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational challenges can be severe. Cholesky Factorization of matrices is an essential tool. This paper reports on progress made by the author in implementi...

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Vydáno v:2010 IEEE 10th International Conference on Computer and Information Technology s. 1207 - 1212
Hlavní autor: Gratton, Steven
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2010
Témata:
Bandwidth
Data models
Determinants
Graphics processing unit
Instruction sets
Kernel
Matrix Inversion
Parallel algorithms
Parallel and vector implementation
Strips
Tiles
ISBN:1424475473, 9781424475476
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Abstract Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational challenges can be severe. Cholesky Factorization of matrices is an essential tool. This paper reports on progress made by the author in implementing Cholesky Factorization on one or more graphics processing units (GPUs). Particular attention is paid to the process of the development of the algorithm in light of the characteristic features of the GPUs. Performance and optimization are discussed, and potential avenues for future development are presented.
AbstractList Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational challenges can be severe. Cholesky Factorization of matrices is an essential tool. This paper reports on progress made by the author in implementing Cholesky Factorization on one or more graphics processing units (GPUs). Particular attention is paid to the process of the development of the algorithm in light of the characteristic features of the GPUs. Performance and optimization are discussed, and potential avenues for future development are presented.
Author Gratton, Steven
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  organization: Kavli Inst. for Cosmol., Univ. of Cambridge, Cambridge, UK
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Snippet Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational...
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StartPage 1207
SubjectTerms Bandwidth
Data models
Determinants
Graphics processing unit
Instruction sets
Kernel
Matrix Inversion
Parallel algorithms
Parallel and vector implementation
Strips
Tiles
Title Graphics Card Computing for Cosmology: Cholesky Factorization
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