Parallel maximum-likelihood inversion for estimating wavenumber-ordered spectra in emission spectroscopy

Author

El-Sayed, Hoda ; Salit, Marc ; Travis, John ; Devaney, Judith ; George, William

Author_Institution

Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA

fYear

2000

fDate

2000

Firstpage

71

Lastpage

76

Abstract

We introduce a parallelization of the maximum likelihood cosine transform. This transform consists of a computationally intensive iterative fitting process, but is readily decomposed for parallel processing. The parallel implementation is not only scalable, but has also brought the execution time of this previously intractable problem to feasible levels using contemporary and cost-efficient high-performance computers, including an SGI Origin 2000, an SGI Onyx, and a cluster of Intel-based PCs

Keywords

maximum likelihood estimation; parallel algorithms; spectroscopy computing; DParLib; MPI; SGI Onyx; SGI Origin 2000; cosine transform; emission spectroscopy; maximum likelihood cosine transform; maximum-likelihood inversion; parallel processing; parallelization; performance evaluation; wavenumber-ordered spectra; Concurrent computing; Costs; Fourier transforms; Maximum likelihood estimation; Optical distortion; Optical interferometry; Optical noise; Parameter estimation; Spectroscopy; Stimulated emission;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing Symposium, 2000. IPDPS 2000. Proceedings. 14th International

Conference_Location

Cancun

Print_ISBN

0-7695-0574-0

Type

conf

DOI

10.1109/IPDPS.2000.845966

Filename

845966