Parallel satellite orbit prediction using a workstation cluster

Parallel Satellite Orbit Prediction Using a Workstation Cluster

In this paper, the benefits of parallel computing using a workstation cluster are explored for satellite orbit prediction. Data and function decomposition techniques are used. Speedup and throughput are the performance metric studied. The software employed for parallelization was the Parallel Virtual Machine (PVM) developed by the Oak Ridge National Laboratory. PVM enables a network of heteroge...

Parallel Workstation Cluster for Algorithm

Multiple sequence alignment in parallel on a workstation cluster

SUMMARY Multiple sequence alignment is the NP-hard problem of aligning three or more DNA or amino acid sequences in an optimal way so as to match as many characters as possible from the set of sequences. The popular sequence alignment program ClustalW uses the classical method of approximating a sequence alignment, by first computing a distance matrix and then constructing a guide tree to show ...

Determination of the best-fitting reference orbit for a LEO satellite using the Lagrange coefficients

Linearization of the nonlinear equations and iterative solution is the most well-known scheme in many engineering problems. For geodetic applications of the LEO satellites, e.g. the Earth’s gravity field recovery, one needs to provide an initial guess of the satellite location or the so-called reference orbit. Numerical integration can be utilized for generating the reference orbit if a satelli...

Parallel FSA: Improving the Performance of Multiple Sequence Alignment using a Workstation Cluster and Database

Multiple Sequence Alignments (MSA) are widely-used tools for biological sequence analysis such as function prediction and phylogeny inference. Recently, a MSA algorithm based on a statistically-sound method for model selection and parameterization, Fast Statistical Alignment (FSA), has been introduced. Although FSA is state-of-the-art with respect to accuracy and ability to scale to thousands o...