DocumentCode
2190114
Title
Graphics Card Computing for Cosmology: Cholesky Factorization
Author
Gratton, Steven
Author_Institution
Kavli Inst. for Cosmol., Univ. of Cambridge, Cambridge, UK
fYear
2010
fDate
June 29 2010-July 1 2010
Firstpage
1207
Lastpage
1212
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.
Keywords
astronomy computing; computer graphic equipment; coprocessors; cosmology; matrix decomposition; Cholesky matrix factorization; GPU; cosmological data sets; cosmology; graphic card computing; graphic processing units; optimal statistical analyses; Bandwidth; Data models; Graphics processing unit; Instruction sets; Kernel; Strips; Tiles; Determinants; Matrix Inversion; Parallel algorithms; Parallel and vector implementation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-7547-6
Type
conf
DOI
10.1109/CIT.2010.218
Filename
5577889
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