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Research Laboratory of Advanced Computing Technologies (acl) ITMO

Knowledge-intensive computer technologies, urgent computing, and decision support for actions in extreme situations.

Organization type: Laboratory

Field of science: Computer and information sciences

General information
Contacts

General information

The ACL laboratory focuses on multidisciplinary research and development in various subject areas requiring resource-intensive computer modeling and big data processing. A key area of the laboratory's activity involves the use of supercomputer technologies to support decision-making in global critical situations, such as the spread of epidemics or wildfires, floods, and criminal or terrorist threats.

Project Title: Distributed urgent computing for decision support in critical situations
Research Areas: Knowledge-intensive computer technologies, urgent computing, and decision support for actions in extreme situations

Goals and Objectives

Project Goal:
Development of computer modeling technologies and creation of decision support systems

Scientific Results

  • A family of methods and algorithms for static and dynamic scheduling of urgent computing processes in cloud computing environments has been developed. The methods are based on a co-evolutionary approach that allows not only managing the characteristics of computing tasks but also configuring resources for their execution.
  • A domain-specific language (DSL) has been developed, which allows describing urgent computing tasks in terms of basic constructs reflecting the features of computing processes in a distributed environment. A translator for this language has been developed, which can be used to create a control script for VLUC based on textual or graphical notation of a composite application.
  • A system of multiscale models based on complex networks has been developed for various emergency situations: epidemics, crime and riots, rumor manipulation, and emergency evacuation. The models are presented as composite applications described in DSL and suitable for use within VLUC to generate computational scenarios.
  • An Early Warning System (EWS) and a decision support system for flood prevention have been created.
  • EWS systems designed to support decision-making in critical situations (terrorist acts, criminal activities, panic during fires or floods, epidemic development, etc.) have been improved.
  • Prototypes of decision-making systems for monitoring epidemiological situations and social tension (using social media data) have been created based on VLUC.
  • Social processes have been modeled based on the formalism of complex networks, the characteristics of which are determined by the subject area.
  • A multiscale model of information process propagation on complex networks and its implementing parallel algorithms have been developed, providing effective computational scaling up to 100,000 cores. The model is applicable for describing epidemiological processes in a heterogeneous stratified population. The result was obtained through co-financing of a mega-grant.

Organizational and infrastructural transformations:
The Situational Modeling and Visualization Center (SMVC) was built on the basis of the Laboratory of Advanced Computing Technologies (2011). The core of the center is a system of six Roxar Projection design 3D projectors with a unified control system, projecting images onto a professional rear-projection screen, interacting with audio and video subsystems, video conferencing, calculation, and control subsystems. Based on the SMVC, projects were carried out to model the behavior of sea vessels at various levels of rolling, aircraft flights and their landing on a vessel at sea, flood prevention tasks, and many other projects implemented by the Laboratory.

Education and personnel retraining

  • Master's programs in English were launched in the field of study 01.04.02 "Applied Mathematics and Informatics": "Supercomputer Technologies in Interdisciplinary Research" (2012), "Supercomputer Technologies in the Study of Big City Processes" (Urban Supercomputing), "Urgent Computing and Big Data Processing" (BigData and Urgent Computing) (2014).
  • More than 150 students were enrolled in joint educational programs of the Department of High-Performance Computing at ITMO University. Students represent the Russian Federation, CIS countries, the USA, Iraq, Kenya, Morocco, Nigeria, Ethiopia, France, Germany, as well as all BRICS countries.

Cooperation

  • University of Amsterdam (Netherlands): international educational programs, dual PhD programs, joint research.
  • Nanyang Technological University (Singapore): development of bilateral academic mobility programs, implementation of joint international academic programs.
  • Indian Institute of Science (India): joint research.

Contacts

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