Near Real-Time Parallel Image Processing Using Cluster Computers

Provided by: California Institute of Technology
Topic: Big Data
Format: PDF
The utility of cluster computers (Beowulfs) for efficient parallel image processing of large-scale mosaics and stereo image correlations is presented. The parallelization of existing serial software using the Message Passing Interface (MPI) is described. Almost perfect reduction of the required wall-clock time with increasing number of CPUs is reported. This true parallelization approach differs from the use of clusters as serial task farms in that it reduces the total time required by individual tasks and enables near real-time interactive data analysis.

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