Switch to Russian Version
Starlight
I will be chasing a starlight
Until the end
of my life
I don't know if it's worth it anymore
(c) MUSE
|
Information Technologies Laboratory
Computational Mathematics and Cybernetics Faculty
University of Nizhni Novgorod
23 Prospekt Gagarina, 603950, Nizhni Novgorod, Russia
|
Phone: |
(8312) 65-64-82 |
E-mail: |
Anna.Labutina@cs.vmk.unn.ru |
ICQ: |
333-111-717 | |
BIO
Date and Place of Birth: 6 June 1982, Gorki, USSR
Education:
-
Master's Degree, diploma with excellence, Applied Mathematics and Informatics, June 2005
University of Nizhni Novgorod, Russia
Dissertation: Software system for learning and investigations in parallel solving methods of complex computational tasks
Advisor: Dr. Victor Gergel
-
Bachelor's Degree, diploma with excellence, Applied Mathematics and Informatics, June 2003
University of Nizhni Novgorod, Russia
Dissertation: Software system for learning and investigations in parallel solving methods of complex computational tasks
Advisor: Dr. Victor Gergel
-
School-leaving sertificate, GPA=5.0 (A= 5.0) “Gold medal”, June 1999
Nizhni Novgorod Technical Lyceum, Nizhni Novgorod, Russia
Employment:
- Programmer, September 2005 - Present
Mobile Devices Software Laboratory, University of Nizhni Novgorod
Research Interests
- Parallel Computing
- Visual tools for parallel programs development
- Parallel computations analysis
- Machine Learning, Artificial Intelligence
- Probability networks
- Bayesian approach to machine learning and
decision making
- Bayesian approach to finance mathematics tasks
Projects
ParaLab – software system for learning and investigations in parallel solving methods of complex computational task
PNL – Open Source Probabilistic Network Library, project was developed in NNSU in collaboration with Intel Russia Research Center
Educational Complex “Introduction to Parallel Programming”, project is running in NNSU in collaboration with Microsoft,
Development of distributed parallel
applications using Cluster OpenMP,
Current stage: Development of method of checking and improving the
Cluster OpenMP* applications efficiency
The main goal is to develop, describe and test the procedure that
will guide users of Cluster OpenMP technology through the following main stages:
-
Checking whether efficiency of an implemented Cluster OpenMP
program reaches a peak value
-
Finding out the reasons of low efficiency by means of
necessary instruments
-
Improving the efficiency of Cluster OpenMP
programs
The project is carried out in
colloboration with Intel Nizhni Novgorod Lab
Publications
Gergel V.P., Labutina A.A. Software system for learning and investigations in parallel solving methods of complex computational tasks. - IV International Congress on mathematical modeling/Book of abstracts/September 20-26 2004, Nizhni Novgorod, University of Nizhni Novgorod, 520 p.
Лабутина А.А., Гергель В.П., Сысоев А.В. Реализация параллельных алгоритмов вывода и обучения на вероятностных сетях в рамках библиотеки Probabilistic Network Library, - Высокопроизводительные параллельные вычисления на кластерных системах. Материалы шестого международного научно-практического семинара, Санкт-Петербург, 2006.
Teaching
University of Nizhni Novgorod, “Programming methods” (1 course, 1 and 2 semesters), practical training
University of Nizhni Novgorod, “Algorithms and data strictures” (2 course, 1 and 2 semesters), practical training
“Education” center of University of Nizhni Novgorod, access courses in mathematics for pupils of the 10th grade