We are a team of professionals, able to offer innovative information technology solutions to your business. We can also offer supercomputer resources, that do not have analogues in Lithuania, various specialized software, large amount data management, analysis, modelling and simulation services, as well as expertise services. Our passion is looking for solutions, therefore, if you have an idea, we will be pleased to implement it!
We aim to:
- make supercomputer resources easily accessible
- develop grid and cloud computing technologies
- create an attractive computing and service center
We can offer scientific research and experimental development in:
- Informatics engineering
Advantages for you:
Supercomputer is a very powerful computer, which can process large amounts of information and perform calculations for modelling complex processes such as nuclear reactions and biochemical processes or even customers' habits. Using these resources scientists and business representatives can shorten calculation time many times and get more accurate results.
IT Research center was established based on Senate Resolution No. S-2010-06-30 and EU structural support project VP2-1.1-MES-04-V-01-002 "Information technology research center establishment". IT Research center operates as a research laboratory and it is focused on education, research and business.
We provide the following services:
Creation of data analysis models in HPC environment. Initiation of data analysis process; data preparation for data analysis; development and experimental evaluation of algorithms suitable for data analysis. Algorithms of data filtering, discovery of outliers, classification, clustering, and association rule mining and time series. Programs used: R, Weka, Qctave and others.
Optimization and creation of analytical algorithms in HPC environment of business process data visualization and analysis. Visual analysis of generated data for business processes applying common visualization methodologies of data analysis and processes in HPC environment. Structural, visual and descriptive analysis considering data multidimensionality and complexity of the process in applied business process environment. Programs used R,Weka, Octave, Gaussian, Gamess and others.
Creation of massive data management and analysis algorithms using cloud computing. Creation, experimental usage and evaluation of “Big data” or even massive data databases in HPC and cloud computing environments. Programs used: NoSQL, Hadoop, BigTable and others.
Development of management and analytical algorithms of sensors and stream data in HPC and cloud computing. Implementation of algorithms of constantly evolving and regularly updated data models and similarity of time series. Application of essential temporal properties in research and algorithms for sensorial and geographic data. Programs used PostgreSQL, TPR indexes, streaming DB and others.
Relocation and data analysis of business processes in cloud computing. Customization and experimental evaluation of Business Systems for transition to cloud computing environments. Consulting and installation of commercial or open-source cloud computing environment. Programs used: S3, OpenNebula, OpenStack, VMware (ESXi), Hyper-V, XenServer, KVM, OpenVZ, VirtualBox and others.
Calculations and creation of algorithms for video and audio processing. Extraction of properties for conventional (photo and video) and medical images. The development of efficient algorithms for content image search and massive processing. Programs used: FFTW, WT, POV-Ray, and others.
Expert consulting in IT area. Expert consulting on IT product properties, non-trivial solutions and their evaluation. Analysis and application of new research methods involving VU MIF researchers.
Expert consulting and training strategies in Cyber Security area. Analysis of Cyber Security issues in business process and threat assessment. Tabletop and cyber range environments involving VU MIF researchers.
More information about the supercomputer resources and opportunities find here.
1. Fill in the ordering form
All customers must fill in an ordering form* and read general conditions for using IT Research center services. (Sorry, all documents are in Lithuanian, English version is coming soon...)
- General conditions for using IT research center services
- Ordering form
- Users' list (must be included if there will be more than 3 users per one ordering form)
* Students must provide a form signed by his/her lecturer.
2. Sign and deliver
We would be very grateful if the scientists and researchers, who have used our supercomputer resources for research or experimental purposes, would mention IT Research center in the acknowledgement of the articles that will be published in scientific and popular science journals. For your convenience we offer a couple of examples:
- “The authors are thankful for the high performance computing resources provided by the Information Technology Research Center of Vilnius University.”
- “The authors are thankful for the HPC resources provided by the IT Research Center of Vilnius University.”
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we or us
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- the singular includes the plural and vice versa;
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We may collect the following Data, which includes personal Data, from you or your Home Organisation via eduGAIN:
2. Job Title;
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Our use of Data
1. For purposes of the GDPR, IT OAC is the "data controller".
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1. IT OAC may, from time to time, employ the services of other parties for dealing with certain processes necessary for the operation of the Website. The providers of such services have access to certain personal Data provided by Users of this Website.
Links to other websites
Changes of business ownership and control
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Controlling use of your Data
Wherever you are required to submit Data, you will be given options to restrict our use of that Data. This may include the following:
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2. sharing Data with third parties.
Functionality of the Website
1. To use all features and functions available on the Website, you may be required to submit certain Data.
1. You have the right to ask for a copy of any of your personal Data held by IT OAC (where such Data is held). The first copy is free of charge, following copies may incur a small fee, which will not exceed 10 EUR.
2. If you find out that the way we are processing data is against the law, you have the right to submit a claim to Vilnius University data protection officer.
1. Data security is of great importance to IT OAC and to protect your Data we have put in place suitable physical, electronic and managerial procedures to safeguard and secure Data collected via this Website.
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4. This Website may place the following Cookies:
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3. Unless otherwise agreed, no delay, act or omission by a party in exercising any right or remedy will be deemed a waiver of that, or any other, right or remedy.
4. This Agreement will be governed by and interpreted according to the law of Lithuania. All disputes arising under the Agreement will be subject to the exclusive jurisdiction of the Lithuanian courts.
Data Protection Code of Conduct
Your personal data will be protected according to the Code of Conduct for Service Providers, a common standard for the research and higher education sector to protect your privacy.
You may contact IT OAC by email at .
03 November 2020
1. Who can use IT OAC infrastructure?
IT OAC main aim is to serve Vilnius University academic society.
We also provide services for private organisations - for that, please contact us on to agree on the size and billing details of your job.
2. How to use IT OAC infrastructure?
To gain access you have register yourself by creating an account in IT OAC portal.
For private organisations or other university representatives who cannot identify themselves with VU SSO authentication system, the accounts are created by IT OAC staff.
3. When can I start using?
Access to the resources is granted through the queue system to balance the load and access between different users.
In order to get your job in the queue, it has to be created and queued by the rules specified in the user guides.
User groups might also be assigned a priority mark which can also change the order of the queue.
4. Service providers’ rights and responsibilities
- Service providers provide users with user guides (published on the website) and additional guidance (by email, phone, in person) when needed.
- Service providers give their best to help users with user’s specific software, but cannot give any guarantees.
- Service is provided as best effort and service providers are not held responsible for any data loss, leakage or damage caused by force majeure, the user activity or inactivity or a third party whose access has become possible due to (in)activity of the user.
5. Users’ rights and responsibilities
- By default users are allowed to use IT OAC infrastructure solely for research and studies. IT OAC resources can be used for other legal activities only on previous written agreement.
- Users must use IT OAC resources in a way that doesn’t cause unnecessary waste of resources or other users work or time.
- Users must keep their login data in private. Accessing resources with someone elses login credential is strictly forbidden.
- In case of any possible security threats (e.g leakage of login credentials), user must contact IT OAC staff immediately and also give his/her best to avoid potential damage to the infrastructure.
|Supercomputer resources||Units||Price (VAT not included)|
|CPU||1 unit/hour||0,043 €/hour|
|RAM||1 GB/hour||0,023 €/hour|
|Storage||50 GB/hour||0,014 €/hour|
|Human resources||Hourly tariff|
|Senior researcher||16,20 €|
|Expert - programmer||13,24 €|
|Junior researcher||8,51 €|
|Computer network administrator||7,83 €|
|Laboratory assistant||6,18 €|
Scientists share their research results received with MIF supercomputer:
"In this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation only. The assumption is that the speech audio signal carries sufficient emotional information to detect and retrieve it. Several two-dimensional acoustic feature spaces, such as cochleagrams, spectrograms, mel-cepstrograms, and fractal dimension-based space, are employed as the representations of speech emotional features. A convolutional neural network (CNN) is used as a classifier. The results show the superiority of cochleagrams over other feature spaces utilized. In the CNN-based speaker-independent cross-linguistic speech emotion recognition (SER) experiment, the accuracy of over 90% is achieved, which is close to the monolingual case of SER. Read article "
Institute of Data Science and Digital Technologies
Image and Signal Analysis Group
Business experience working with us:
“The IT Research center team is characterized by promptness and goodwill. Effective communication allows for productive time planning, which is especially important during events, and goodwill collaboration ensures the quality of our organization's goals. ”
PI "Turing School"
"It's easy to work with the IT Research center team. There are rules in mature business where a verbal agreement equates to a written commitment. This way of communicating allows results to be achieved very quickly without bursting into the bureaucratic jungle."
VU doctoral students about working with MIF supercomputer:
“We used the VU MIF supercomputer for large-scale computations to model chemical processes in electrochemical microscopy. The results have been published in high-level application journals. "
“MIF supercomputer resources are useful in interdisciplinary research with scientists at the VU GMC Institute of Biochemistry. The subject of these investigations is the electrochemical properties of damaged (defective) phospholipid membranes. The supercomputer analyzes a large number of three-dimensional models of these membranes using the finite element method (FEM). This simulation avoids the complexity of working with real membranes in the laboratory and allows you to obtain the required information on the properties of the membranes being studied more quickly."
“At VU MIF Supercomputer, we are conducting research on algorithms for electroencephalogram (EEG) analysis. A supercomputer is especially useful for such research because we can test many algorithm configurations at a time and further explore the best one. Other algorithms we can parallelize, then we get acceleration on the supercomputer. We are currently investigating algorithms for EEG peak search and classification based on diagnosis, and apply the results to writing a doctoral dissertation, preparing scientific publications, and giving presentations at international and national scientific conferences. ”
A.V. Misiukas Misiūnas