Distributed out-of-core preprocessing of very large microscopy images for efficient querying

Benjamin Rutt; Vijay S. Kumar; Tony Pan; Tahsin Kurc; Umit Catalyurek; Joel Saltz; Yujun Wang

doi:10.1109/CLUSTR.2005.347054

Distributed out-of-core preprocessing of very large microscopy images for efficient querying

Benjamin Rutt
, Vijay S. Kumar
, Tony Pan
, Tahsin Kurc
, Umit Catalyurek
, Joel Saltz
, Yujun Wang

Biomedical Informatics

Ohio State University
University of California at San Diego

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

We present a combined task- and data-parallel approach for distributed execution of pre-processing operations to support efficient evaluation of polygonal aggregation queries on digitized microscopy images. Our approach targets out-of-core, pipelined processing of very large images on active storage clusters. Our experimental results show that the proposed approach is scalable both in terms of number of processors and the size of images.

Original language	English
Title of host publication	2005 IEEE International Conference on Cluster Computing, CLUSTER
DOIs	https://doi.org/10.1109/CLUSTR.2005.347054
State	Published - 2005
Event	2005 IEEE International Conference on Cluster Computing, CLUSTER - Burlington, MA, United States Duration: Sep 27 2005 → Sep 30 2005

Publication series

Name	Proceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)	1552-5244

Conference

Conference	2005 IEEE International Conference on Cluster Computing, CLUSTER
Country/Territory	United States
City	Burlington, MA
Period	09/27/05 → 09/30/05

Access to Document

10.1109/CLUSTR.2005.347054

Cite this

Rutt, B., Kumar, V. S., Pan, T., Kurc, T., Catalyurek, U., Saltz, J., & Wang, Y. (2005). Distributed out-of-core preprocessing of very large microscopy images for efficient querying. In 2005 IEEE International Conference on Cluster Computing, CLUSTER Article 4154097 (Proceedings - IEEE International Conference on Cluster Computing, ICCC). https://doi.org/10.1109/CLUSTR.2005.347054

@inproceedings{c66f7dfc9f8a4f618085b18f68f3c5f7,

title = "Distributed out-of-core preprocessing of very large microscopy images for efficient querying",

abstract = "We present a combined task- and data-parallel approach for distributed execution of pre-processing operations to support efficient evaluation of polygonal aggregation queries on digitized microscopy images. Our approach targets out-of-core, pipelined processing of very large images on active storage clusters. Our experimental results show that the proposed approach is scalable both in terms of number of processors and the size of images.",

author = "Benjamin Rutt and Kumar, \{Vijay S.\} and Tony Pan and Tahsin Kurc and Umit Catalyurek and Joel Saltz and Yujun Wang",

year = "2005",

doi = "10.1109/CLUSTR.2005.347054",

language = "English",

isbn = "0780394852",

series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",

booktitle = "2005 IEEE International Conference on Cluster Computing, CLUSTER",

note = "2005 IEEE International Conference on Cluster Computing, CLUSTER ; Conference date: 27-09-2005 Through 30-09-2005",

}

Rutt, B, Kumar, VS, Pan, T, Kurc, T, Catalyurek, U, Saltz, J & Wang, Y 2005, Distributed out-of-core preprocessing of very large microscopy images for efficient querying. in 2005 IEEE International Conference on Cluster Computing, CLUSTER., 4154097, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2005 IEEE International Conference on Cluster Computing, CLUSTER, Burlington, MA, United States, 09/27/05. https://doi.org/10.1109/CLUSTR.2005.347054

Distributed out-of-core preprocessing of very large microscopy images for efficient querying. / Rutt, Benjamin; Kumar, Vijay S.; Pan, Tony et al.
2005 IEEE International Conference on Cluster Computing, CLUSTER. 2005. 4154097 (Proceedings - IEEE International Conference on Cluster Computing, ICCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Distributed out-of-core preprocessing of very large microscopy images for efficient querying

AU - Rutt, Benjamin

AU - Kumar, Vijay S.

AU - Pan, Tony

AU - Kurc, Tahsin

AU - Catalyurek, Umit

AU - Saltz, Joel

AU - Wang, Yujun

PY - 2005

Y1 - 2005

N2 - We present a combined task- and data-parallel approach for distributed execution of pre-processing operations to support efficient evaluation of polygonal aggregation queries on digitized microscopy images. Our approach targets out-of-core, pipelined processing of very large images on active storage clusters. Our experimental results show that the proposed approach is scalable both in terms of number of processors and the size of images.

AB - We present a combined task- and data-parallel approach for distributed execution of pre-processing operations to support efficient evaluation of polygonal aggregation queries on digitized microscopy images. Our approach targets out-of-core, pipelined processing of very large images on active storage clusters. Our experimental results show that the proposed approach is scalable both in terms of number of processors and the size of images.

UR - https://www.scopus.com/pages/publications/50149118897

U2 - 10.1109/CLUSTR.2005.347054

DO - 10.1109/CLUSTR.2005.347054

M3 - Conference contribution

AN - SCOPUS:50149118897

SN - 0780394852

SN - 9780780394858

T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC

BT - 2005 IEEE International Conference on Cluster Computing, CLUSTER

T2 - 2005 IEEE International Conference on Cluster Computing, CLUSTER

Y2 - 27 September 2005 through 30 September 2005

ER -

Distributed out-of-core preprocessing of very large microscopy images for efficient querying

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