Welcome to CICLING 2018 international conference at USTH from 19-24/3/2018
ICLing 2018 ( 19th International Conference on Computational Linguistics and Intelligent Text Processing) is hosted by the ICT department of USTH and organized by the CICLing 2018 Organizing Committee in collaboration with the France-Vietnam ICTLab, ICT department of University of Science and Technology of Hanoi (USTH), Vietnamese Academy of Science and Technology (VAST), University of La Rochelle France (ULR), Institut de recherche pour le développement (IRD), the Natural Language and Text Processing Laboratory of the CIC, IPN, and the Mexican Society of Artificial Intelligence (SMIA).
The conference is intended to encourage exchange of opinions between the scientists working in different areas of the growing field of computational linguistics and intelligent text and speech processing.
Time: 18/3/2018-24/3/2018
Location: USTH auditorium, 9th floor, A21 Building, 18 Hoang Quoc Viet, Cau Giay, Hanoi
Workshop on Grid and High Performance Computing
USTH, Hanoi, Vietnam
February 23-24th, 2017
1. Background
Last year, the USTH consortium organized working groups for structuring research in some strategic fields. Two topics were selected in the area of ICT:
- IoT and sensor networks
- grid and high performance computing
In previous years, we observed the emergence of two hot topics which are cloud computing and big data. While these two topics are addressed by many communities of computer sciences, we are here concerned by the infrastructures that are used to host cloud computing and big data platforms.
Such infrastructures are generally called data centers. They are built from the aggregation of many interconnected hardware servers, to provide a computing capacity for hosting cloud or big data applications. Notice that the spectrum of considered applications is very broad and can include (not exhaustively) HPC, simulation, data mining, image processing as well as Web applications.
In this context, we are mainly interested in the software, at the operating system level and middleware level, that is used to exploit such a data center. The overall goal of these software is to efficiently manage ressources (computing, memory, storage, network).