Large Image Correction and Warping in a Cluster Environment

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http://doi.ieeecomputersociety.org/10.1109/SC.2006.39

ACM/IEEE SC 2006 Conference (SC'06)

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	Vijay S. Kumar, Benjamin Rutt, Tahsin Kurc, Umit Catalyurek, Joel Saltz, Sunny Chow, Stephan Lamont, Maryann Martone, "Large Image Correction and Warping in a Cluster Environment," SC Conference, pp. 38, ACM/IEEE SC 2006 Conference (SC'06), 2006.

	BibTex	x
	@article{ 10.1109/SC.2006.39, author = {Vijay S. Kumar and Benjamin Rutt and Tahsin Kurc and Umit Catalyurek and Joel Saltz and Sunny Chow and Stephan Lamont and Maryann Martone}, title = {Large Image Correction and Warping in a Cluster Environment}, journal ={SC Conference}, volume = {0}, year = {2006}, isbn = {0-7695-2700-0}, pages = {38}, doi = {http://doi.ieeecomputersociety.org/10.1109/SC.2006.39}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - SC Conference TI - Large Image Correction and Warping in a Cluster Environment SN - 0-7695-2700-0 SP EP A1 - Vijay S. Kumar, A1 - Benjamin Rutt, A1 - Tahsin Kurc, A1 - Umit Catalyurek, A1 - Joel Saltz, A1 - Sunny Chow, A1 - Stephan Lamont, A1 - Maryann Martone, PY - 2006 KW - null VL - 0 JA - SC Conference ER -

Vijay S. Kumar, Ohio State University

Benjamin Rutt, Ohio State University

Tahsin Kurc, Ohio State University

Umit Catalyurek, Ohio State University

Joel Saltz, Ohio State University

Sunny Chow, University of California San Diego

Stephan Lamont, University of California San Diego

Maryann Martone, University of California San Diego

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.

Citation:

Vijay S. Kumar, Benjamin Rutt, Tahsin Kurc, Umit Catalyurek, Joel Saltz, Sunny Chow, Stephan Lamont, Maryann Martone, "Large Image Correction and Warping in a Cluster Environment," sc, pp.38, ACM/IEEE SC 2006 Conference (SC'06), 2006

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