International cooperation

In accordance with the Agreement between JINR and the Research Centre (Rossendorf, Germany) about a cooperation in the field of application and development of computing systems, LIT specialists took part in the realization of the project "Zentrale Nutzerdatenbank" for administration of the computer complex FZR with the use of WWW technology. Work on creation of the automated system of administrating the computer complex with application of WWW technology was carried out. A number of Java programs were developed. An opportunity was investigated of using software on base of LDAP (Lightweight Directory Access Protocol) for automated remote administrating of personal computers with different operational systems (W2000 and Linux).

In cooperation with DESY (Zeuthen), joint work on the development and creation of applied and system software for high-performance multiprocessor computing complex APEmille as well as of apeNEXT was performed. Debugging and testing of both software and hardware for APEmille were performed. A simulation on the preliminary VHDL model of apeNEXT was done. A prototype version of a C compiler, including an interface to the TAO front-end, was developed. Testing with the functional simulator of the apeNEXT architecture running on Linux PCs was performed.

Joint work was carried out in cooperation with CERN's IT Division in the framework of the CERN-INTAS project on the creation of a system "Correlation Engine". The purpose of the system is a timely detection of anomalous states on PC-farm's nodes and failure prevention. A first prototype of the correlation system has been designed in the language Perl and statistics is being accumulated. In parallel, the possibilities of the prototype are being extended.

In cooperation with CERN and Brookhaven National Laboratory the following work has been carried out [23]:

  1. Development, in cooperation with CERN, of the object-oriented program environment (framework ROOT) for solving a wide class of scientific problems using workstations and PC (http://root.cern.ch).
  2. Elaboration, development and realization of an informational model of processors for acquisition, reconstruction and physical analysis of data for large experiments.
  3. Introductions of modern object-oriented technologies for the STAR experiment.
  4. Development of an object-oriented input/output system for the ATLAS experiment.

The investigation on joint DFG-GSI-JINR project "Nonequilibrium Strongly Dense Matter in Nucleus-Nucleus Collisions" was in progress. The aim of the project is to further develop transport schemes including off-shell effects, in particular, such as finite particle widths, and possible phase transitions in dense matter and implement these schemes into various dynamical models, i.e., to study evolution of resonance matter and dynamics of phase transitions.

Charmonium dissociation in a hot meson gas was investigated in collaboration with Rostock University (Germany). The results are applied to heavy-ion collisions within a modified Glauber model scenario and the phenomenon of anomalous suppression is addressed [24]. The results are applicable to the case of Pb-Pb collisions at CERN.

Active collaboration was continued with Germany in the field of computer algebra. With Technical University (RWTH), Aachen, two Maple packages, called Involutive and Janet, implementing original algorithms designed in LIT for transformation (completion) of systems of nonlinear algebraic equations and linear systems of PDEs, respectively, into the canonical involutive form, have been developed.

With University of Greifswald, a Mathematica tool Invo for completion of nonlinear algebraic and linear differential systems to involution was created. This software tool allows a user to experiment with various involutive divisions generating different algorithmic procedures for the completion [21].

The effective cooperation with the International Salvay Institute of Physics and Chemistry (Brussels, Belgium) progressed in 2001 on the basis of developed computational tools and methods based on artificial neural networks, cellular automata. A nonlinear time series analysis was applied to the traffic measurements, obtained at the input of a medium-size local area network [25].

© Laboratory of Information Technologies, JINR, Dubna, 2002
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