A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy

A. Bria (University of Cassino); G. Iannello, P. Soda (Campus Bio-Medico); H. Peng (Allen Institute); G. Erbacci, G. Fiameni, G. Mariani, R. Mucci, M. Rorro (Cineca); F. Pavone, L. Silvestri (LENS); P. Frasconi, R. Cortini (University of Florence)

Scientific problems dealing with the processing of large amounts of data require efforts in the integration of proper services and applications to facilitate the research activity, interacting with high performance computing resources. Easier access to these resources have a profound impact on research in neuroscience, leading to advances in the management and processing of neuro-anatomical images. An ever increasing amount of data are constantly collected with a consequent demand of top-class computational resources to process them. In this paper, a HPC infrastructure for the management and the processing of neuro-anatomical images is presented, introducing the effort made to optimize and integrate specific applications in order to fully exploit the available resources.

Published in: High Performance Computing & Simulation (HPCS), 2014 International Conference on
Date of Conference: 21-25 July 2014
Page(s): 592 - 599
Print ISBN: 978-1-4799-5312-7
Conference Location: Bologna, Italy
DOI: 10.1109/HPCSim.2014.6903741
Publisher: IEEE