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Whole cancer genome analysis using an I/O aware job scheduler on high performance computing resource

contributor authorLee, Junehawk
contributor authorKang, Hyojin
contributor authorYu, Seokjong
contributor authorKim, Chul
contributor authorYea, Sang-Jun
date accessioned2020-03-12T22:15:01Z
date available2020-03-12T22:15:01Z
date issued2014
identifier other6999391.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1076434?show=full
formatgeneral
languageEnglish
publisherIEEE
titleWhole cancer genome analysis using an I/O aware job scheduler on high performance computing resource
typeConference Paper
contenttypeMetadata Only
identifier padid8212644
subject keywordsband structure
subject keywordsn photonic crystals
subject keywordsn refractive index
subject keywordsn band structure
subject keywordsn electrodynamics
subject keywordsn infinite homogeneous cylinder
subject keywordsn local isofrequency
subject keywordsn multiple-scattering formalism
subject keywordsn optical Bloch oscillations
subject keywordsn photonic crystals
subject keywordsn refractive index
subject keywordsn Arrays
subject keywordsn Integrated optics
subject keywordsn Optical refraction
subject keywordsn Optical superlattices
subject keywordsn Optical waveguides
subject keywordsn Oscillators
subject keywordsn Refractive index
subject keywordsn Bloch oscillations
subject keywordsn breathing modes
subject keywordsn evanescent modes
subject keywordsn guided
identifier doi10.1109/ICTON.2014.6876629
journal titleioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
filesize126022
citations0


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