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.
Permanent link for public information only:
Permanent link for all public and protected information:
The registration for the school will take place on September 9 from 17.00 to 20.00 in the hotel "Dubna" (Vekslera str. 8).
During the registration, you will receive your laboratory permit to enter the JINR territory where the school will take place at the conference hall of the laboratory of information technologis. In case you are not able to register on September 9, please pick up your laboratory permit at JINR Visit Centre (Molodezhnaya str. 5) from 09.00 t0 18:00 except lunch break from 13:00 to 14:00.
For more information, please follow the link http://www.jinr.ru/about-en/visit-centre/
Please be aware that it is utterly important to return your laboratory permit back to the JINR Security Department. Don’t forget to drop it in the mailbox of JINR Visit Centre before your departure.
The goal of the school is to attract young scientists, students and postgraduate students to solve IT-tasks and challenges related to various aspects of megaprojects in the field of high-energy physics and to familiarize participants with modern methods of Big data analytics, machine learning and high-performance computing systems and to use this knowledge to solve IT tasks in the field of high-energy physics.
The main topics of the school are:
Big data by the example of the NICA megaproject and experiments at the Large Hadron Collider as the main source of big data in high-energy physics;
Distributed systems for collecting, processing, managing and storing information;
Use of high-performance systems (supercomputers, computing clusters) for data processing and modeling of physical experiments;
Working languages: Russian and English.
Selection of participants takes place in universities.
Please DO NOT register at the GRID 2018 conference website (GRID 2018 conference website is for those participants who make a report at the conference).
Organizers provide accommodation and per diem (at a rate of 500 rub/day.)
HTC and HPC as a parts of distributed computing system45m407
-How to combine two different computing paradigm into one distributed computing system
-How to join GRID to Supercomputers
COMPASS Production System45m407
DIRAC Interware for building distributed computing systems for scientific applications50m407
Modern scientific applications require very large computing and storage capacity to treat steadily
increasing data volumes with more and more sophisticated algorithms. In many cases, in particular,
for large international scientific collaborations, such capacity cannot be provided by just one even
very large computing center. Instead, all the computing and storage resources available for a scientific
community must be integrated in a coherent distributed system that can be seen and used by the
community members as a single easy to access computer. Therefore, multiple projects were carried
out recently to provide distributed computing infrastructures to multiple scientific communities.
Among such infrastructures one can mention WLCG Computing Grid for the LHC program or European
Open Science Cloud for European research projects. The DIRAC platform provides all the necessary
software components for building such distributed computing infrastructures. In the lecture, the
example of the DIRAC interware will be used to describe architectures and technologies applied
for building complex distributed computing infrastructures involving various types of resources
such as computing grids, clouds, supercomputers or volunteer computing platforms based on the
BOINC technology. Integration of data stores with different storage technologies will be discussed.
Examples of usage of DIRAC based infrastructures for High Energy Physics and other Big Data scientific
applications will be presented.