Title :
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
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);
Conference_Titel :
Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-1693-6
Electronic_ISBN :
1530-2075
DOI :
10.1109/IPDPS.2008.4536242
