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DTSTAMP:20260711T105325Z
UID:d103dfdf-8553-4a24-a8c5-025d8c73d7cb
DTSTART:20130516T060000Z
DTEND:20130517T160000Z
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 and NetCDF\, that allow for data writing and reading in 
 an organized\, efficiency and portable way\nSome note about the hardware f
 eatures affecting the I/O performance are also provided\, in order to choo
 se the better way to write and to read data. Topics\n\n		I/O: basic conce
 pts\n	\n		Managment of large scientific data\n	\n		Parallel file I/O with 
 MPI2\n	\n		HDF5 library\nTarget Audience\nStudents and researchers of any 
 scientific field\, interested in improving their knowledge in production a
 nd managment of scientific data.Pre-requisites\nKnowledge and experience o
 f Fortran\, C\, or  C++. Experience with UNIX operating systems\n\nhttps:
 //events.prace-ri.eu/event/126/
SUMMARY:Parallel I/O and management of large scientific data @ CINECA
URL;VALUE=URI:https://events.prace-ri.eu/event/126/
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