DocumentCode :
579312
Title :
High-Performance Computing for Data Analytics
Author :
Perrin, Dimitri ; Bezbradica, Milan ; Crane, Martin ; Ruskin, Heather J. ; Duhamel, Cecilie
Author_Institution :
Centre for Sci. Comput. & Complex Syst. Modelling, Dublin City Univ., Dublin, Ireland
fYear :
2012
fDate :
25-27 Oct. 2012
Firstpage :
234
Lastpage :
242
Abstract :
One of the main challenges in data analytics is that discovering structures and patterns in complex datasets is a computer-intensive task. Recent advances in high-performance computing provide part of the solution. Multicore systems are now more affordable and more accessible. In this paper, we investigate how this can be used to develop more advanced methods for data analytics. We focus on two specific areas: model-driven analysis and data mining using optimisation techniques.
Keywords :
data analysis; data mining; multiprocessing systems; optimisation; computer-intensive task; data analytics; data mining using optimisation techniques; high-performance computing; model-driven analysis; multicore systems; Analytical models; Coatings; Computational modeling; Data models; Drugs; Polymers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on
Conference_Location :
Dublin
ISSN :
1550-6525
Print_ISBN :
978-1-4673-2954-5
Type :
conf
DOI :
10.1109/DS-RT.2012.41
Filename :
6365069
Link To Document :
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