Large image correction and warping in a cluster environment

Authors:
Vijay S. Kumar;Benjamin Rutt;Tahsin Kurc;Umit Catalyurek;Joel Saltz;Sunny Chow;Stephan Lamont;Maryann Martone
Affiliations:
The Ohio State University;The Ohio State University;The Ohio State University;The Ohio State University;The Ohio State University;University of California, San Diego;University of California, San Diego;University of California, San Diego
Venue:
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Year:
2006

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Abstract

This paper is concerned with efficient execution of a pipeline of data processing operations on very large images obtained from confocal microscopy instruments. We describe parallel, out-of-core algorithms for each operation in this pipeline. One of the challenging steps in the pipeline is the warping operation using inverse mapping based methods. We propose and investigate a set of algorithms to handle the warping computations on storage clusters. Our experimental results show that the proposed approaches are scalable both in terms of number of processors and the size of images.