In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
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Parallel I/O and management of large scientific data @ CINECA
Via Magnanelli 6/3, 40033 Casalecchio di Reno, Bologna, ITALY
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 known bottleneck in high-performance computing. Moreover, sometimes data are stored in files without a specific organization or format, making them no portable neither accessible on other resources, severely limiting their use.
Thus, crucial issues are both the choice of the better way to write and to read data taking into account of the hardware resources available, 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 portable and accessible files.
Aim of this course is to introduce the basis for the usage of the MPI-2 I/O library for binary data, and the standard data formats as HDF5 and NetCDF, that allow for data writing and reading in an organized, efficiency and portable way
Some note about the hardware features affecting the I/O performance are also provided, in order to choose the better way to write and to read data.
I/O: basic concepts
Managment of large scientific data
Parallel file I/O with MPI2
Students and researchers of any scientific field, interested in improving their knowledge in production and managment of scientific data.
Knowledge and experience of Fortran, C, or C++. Experience with UNIX operating systems