Big Data approaches for the analysis of large-scale fMRI data using Apache Spark and GPU processing: A demonstration on resting-state fMRI data from the Human Connectome Project

Big Data approaches for the analysis of large-scale fMRI data using Apache Spark and GPU processing: A demonstration on resting-state fMRI data from the Human Connectome Project

Technologies for scalable analysis of very large datasets have emerged in the domain of internet computing, but are still only rarely used in neuroimaging despite the existence of data and research questions in need of efficient computation tools especially in fMRI. In this work, we present software...

Full description

Bibliographic Details
Main Authors: Roland N Boubela, Klaudius eKalcher, Wolfgang eHuf, Christian eNasel, Ewald eMoser
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-01-01
Series:Frontiers in Neuroscience
Subjects:
fMRI
machine learning
Distributed Computing
statistical computing
graph analysis
scalable architecture
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00492/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00492/full

Similar Items