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DTSTAMP:20260925T212211Z
UID:b9d63228-3017-4992-958a-252c7551e479
DTSTART:20140515T070000Z
DTEND:20140516T160000Z
DESCRIPTION:The growing availability and power of computing resources\, has
  led in recent years to the production of a huge amount of data. However\,
  writing results of numerical simulations from memory to disk is a well kn
 own bottleneck in high-performance computing. Moreover\, sometimes data ar
 e stored in files without a specific organization or format\, making them 
 no portable neither accessible on other resources\, severely limiting thei
 r use.\nThus\, crucial issues are both the choice of the better way to wri
 te and to read data taking into account of the hardware resources availabl
 e\, like the bandwidth and the filesystem's properties\; and the choice of
  the better techniques to write and to read data in order to obtain portab
 le and accessible files.\nAim of this course is to introduce the basis for
  the usage of the MPI-2 I/O library for binary data\, and the standard dat
 a formats as HDF5\, that allow for data writing and reading in an organize
 d\, efficiency and portable way\nSome note about the hardware features aff
 ecting the I/O performance are also provided\, in order to choose the bett
 er way to write and to read data.Target Audience\nStudents and researchers
  of any scientific field\, interested in improving their knowledge in prod
 uction and managment of scientific data.Topics\n•           
           I/O: basic concepts\n•               
       Managment of large scientific data\n•            
          Parallel file I/O with MPI2\n•            
          HDF5 libraryPrerequisites\n•             
         Knowledge and experience of Fortran\, C\, or  C++.\n• 
                     Experience with UNIX operating syst
 ems\n•                     Knowledge of MPI\n\nhttps
 ://events.prace-ri.eu/event/265/
SUMMARY:Parallel I/O and management of large scientific data @ CINECA
URL;VALUE=URI:https://events.prace-ri.eu/event/265/
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