1956-2016
Scope of activities scientific and research work in informatics, information technology, control theory, robotics and artificial intelligence Departments: Parallel and distributed information processing Design and diagnostics of digital systems Parallel computational methods and algorithms Discrete processes modeling and control Sensor systems Speech analysis and synthesis Electron beam lithography PCB design and production www.ui.sav.sk
II SAS in EU programs FP5 4projects FP6 8projects FP7-8 projects VENIS GAMMA Redirnet SeCriCom Commius ADMIRE EGEE-III EGI-InSPIRE HORIZON 2020: EGI- Engage EOSC Hub DEEP PROCESS European Defense Agency: EUSAS project
http://bigdatapix.tumblr.com/
Knowledge oriented technology Two applications: 1. a content based filtering and recommendaton engine 2. Online advertisement Queries categorization Click-through rate prediction User modeling Advertising campaignes Knowledge Modeling Knowledge bases and Organizational Memories Artificial Intelligence Machine Learning Data Mining Mobile&Communication Technologies Multi-agent Systems Science is the future!
Accelerated Computing in Cloud EGI-Engage project IISAS-GPUCloud production cloud site with graphical accelerators (GPGPU) Cooperating on cloud middleware for GPGPU nad their integration into EGI FedCloud infrastructure Execution of large testing to optimize efficiency and to address stability of virtuals in clouds Providing Horizon portal with a new module to work with OpenStack, rocci, etc. for EGI users Design, development and implementation of several scripts to automatize some work within cloud Support of virtual organizations and applications from EGI database AppDB IISAS-GPUCloud Hardware: Software IBM dx360 M4 server with two NVIDIA Tesla K20 accelerators 16 CPU cores, 64GB RAM, 1 TB storage on each WN 2x Tesla K20 on each WN, each with 2496 CUDA cores, 5GB GDDR5 RAM, peak performance 3.52 Tflops for SP Based OS: Ubuntu 14.04 LTS KVM hypervisor with passthrough Openstack Liberty middleware Newest FedCloud tools www.egi.eu EGI-Engage is co-funded by the Horizon 2020 Framework Programme of the European Union under grant number 654142
EOSC-hub Integrating and managing services for the European Open Science Cloud EOSC-hub mobilises providers from 20 major digital infrastructures, EGI, EUDAT CDI and INDIGO-DataCloud jointly offering services, software and data for advanced datadriven research and innovation. EOSC-hub receives funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No. 777536.
DEEP-Hybrid-DataCloudproject H2020 Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets DEEP as a Service a set of building blocks that enable the easy development of applications requiring these techniques Partners: CSIC (Spain), LIP (Portugal), INFN (Italy), PSNC (Poland), KIT (Germany), UPV (Spain), CESNET (Czech Republic), IISAS (Slovakia), ATOS (Spain), HMGU (Germany)
PROCESS H2020 PROviding Computing solutions for ExaScale challenges PROCESS will deliver a comprehensive set of mature services prototypes and tools specially developed to enable extreme scale data processing in both scientific research and advanced industry settings. Coordinator: Ludwig-Maximilians-Universität München Germany,
Global ATM security management - GAMMA Goal of the project: To develop solutions to emerging air traffic management vulnerabilitiesbacked up by practical proposals for the implementation of these solutions. Worldwide consortium: Boeing (USA), AirBus(France), Leonardo(Italy), Thales (GB, Greece), Institut für Flugführung DLR (Germany), CiaoTech(Italy), II SAS,etc. Science is the future!
Computational demanding applications Fire simulation Fire simulations solved on HPC cluster: automobile fire in open air and its spread on adjacent vehicle validated by experimental data from full-scale fire tests automobile fire in car park (the car fire validated by full-scale fire tests) Science is the future!
Mechatronic vision system Motivation: Substitutionof the hand-guided system by automatic guidance Reducing service requirements Automation of the fire control process Helmet monitor An object tracking module Application driven research Technical parameters: Reaction time from 5 to 10 seconds Aiming accuracy 10 cm for 1000 metrov Accuracy of the fire time 1 milisecond Science is the future!
Mechatronic vision system Fire Control Testing Application driven research The system has been embeded into the Ballistic Anti Aircraft Fire Control System developed in cooperation with the Slovak company EVPU a.s. Nová Dubnica within an upgrade of the Indian Army s ZU-23 antiaircraft gun
Swarm robotics and IoT laboratory Science is the future!
Simulations and vizualizations Science is the future!
Realtionship between trust and entrainment in speech Granted by Air Force Research Laboratory (USA) Human machine interaction
Thank you! Ivana Budinská, Institute of Informatics Slovak Academy of Sciences, budinska@savba.sk Science is the future!