A. Bria, G. Iannello, P. Soda, Hanchuan Peng, G. Erbacci, G. Fiameni, Giacomo Mariani, R. Mucci, M. Rorro, F. Pavone, L. Silvestri, P. Frasconi, Roberto Cortini
{"title":"A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy","authors":"A. Bria, G. Iannello, P. Soda, Hanchuan Peng, G. Erbacci, G. Fiameni, Giacomo Mariani, R. Mucci, M. Rorro, F. Pavone, L. Silvestri, P. Frasconi, Roberto Cortini","doi":"10.1109/HPCSim.2014.6903741","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6469,"journal":{"name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","volume":"7 1","pages":"592-599"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2014.6903741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.