Parallel Maximum-Likelihood Inversion for Estimating Wavenumber-Ordered Spectra in Emission Spectroscopy

We introduce a parallelization of the maximumlikelihood 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 highperformance computers, including an SGI Origin 2000, an SGI Onyx, and a cluster of Intel-based PCs. Key words : parallel processing, emission spectroscopy, cosine transform, maximum-likelihood inversion, performance evaluation, DParLib, MPI.

• Type: Conference
• Year: 2000
• Where: IPPS
• Authors: Hoda El-Sayed, Marc Salit, John Travis, Judith Ellen Devaney, William George
• Keywords: Cosine Transform, Distributed And Parallel Computing, IPPS 2000, Maximumlikelihood Cosine Transform, Parallel Processing