DocumentCode :
1814039
Title :
High-performance computing in biomedicine
Author :
Hautaniemi, Sampsa ; Laakso, M.
Author_Institution :
Res. Programs Unit, Univ. of Helsinki, Helsinki, Finland
fYear :
2013
fDate :
1-5 July 2013
Firstpage :
233
Lastpage :
233
Abstract :
Biomedicine has rapidly become a data-rich field where novel measurement tools can easily provide >1012 data points from one patient. As a typical medical research project may consist of hundreds of individuals, high-performance computing (HPC) is crucial in transforming the data into knowledge and health benefits.
Keywords :
biomedical measurement; medicine; parallel processing; HPC; biomedicine; data transformation; data-rich field; health benefits; high-performance computing; knowledge benefits; measurement tools; medical research project; Bioinformatics; Cancer; Current measurement; Genomics; Software; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2013 International Conference on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4799-0836-3
Type :
conf
DOI :
10.1109/HPCSim.2013.6641420
Filename :
6641420
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1814039
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