A parallel software toolkit for statistical 3-D virus reconstructions from cryo electron microscopy images using computer clusters with multi-core shared-memory nodes

Author

Zheng, Yili ; Doerschuk, Peter C.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN

fYear

2008

Firstpage

1

Lastpage

11

Abstract

A statistical approach for computing 3-D reconstructions of virus particles from cryo electron microscope images and minimal prior information has been developed which can solve a range of specific problems. The statistical approach causes high computation and storage complexity in the software implementation. A parallel software toolkit is described which allows the construction of software targeted at commodity PC clusters which is modular, reusable, and user-transparent while at the same time delivering nearly linear speedup on practical problems.

Keywords

electron microscopy; maximum likelihood estimation; medical computing; microorganisms; parallel programming; shared memory systems; software tools; workstation clusters; computer clusters; cryo electron microscopy images; multicore shared-memory nodes; parallel software toolkit; statistical 3D virus reconstructions; storage complexity; virus particles; Biomedical computing; Biomedical engineering; Concurrent computing; Electron microscopy; Image reconstruction; Signal to noise ratio; Software reusability; Software tools; Three dimensional displays; Viruses (medical);

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on

Conference_Location

Miami, FL

ISSN

1530-2075

Print_ISBN

978-1-4244-1693-6

Electronic_ISBN

1530-2075

Type

conf

DOI

10.1109/IPDPS.2008.4536242

Filename

4536242