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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Campus universitaire d'Orsay
rue John Von Neumann Bâtiment 506
F-91403 Orsay cedex
OpenMP has become the de-facto standard for multitasks parallel programming on shared memory systems.
OpenACC is an emerging standard for parallel computing designed to ease the use of accelerators like GPU, or coming many-core processors; OpenACC is real-world implementation of parallel programming concepts for accelerators that could be part of a future OpenMP standard.
Introduction to OpenMP
Presentation of the OpenACC programming model;
hands-on session using CAPS/HMPP compiling toolchain
Hands-on sessions will use the PRACE / CURIE supercomputer
The OpenACC part of the course will be given by CAPS Entreprise.
After this course, participants should know the syntax of OpenMP directives, how to apply them to obtain efficient parallel codes. They will also understand the importance of memory layout. Last, they will have a first exposure to the emerging openACC standard.
Good knowledge in C or Fortran programming language, some knowledge about parallel programming.
GPGPU programming knowledge is not required.