Ph.D. Tomas Plankis Vilnius University tomas.plankis@mif.vu.lt - - PowerPoint PPT Presentation

Ph.D. Tomas Plankis Vilnius University tomas.plankis@mif.vu.lt

Faculty of Mathema/cs and Informa/cs

Supercomputer

 SGI Altix 4700  Sun Fire X4100  New supercomputer (1500 cores, 600 TB)  Distributed computing network  Software

“Personnel”

Scientists Students

 We have a lot high class

specialists to do research in many different fields

 A lot of students, who could

help in research and experiments

 A lot of students, who could

be teached the newest knowledge

Short about... myself

 6 years experience in healthcare  one of the developers of patients management system  experience in data management  experience in medical systems  experience in interoperability

Doctor’s needs

Medical Systems

X‐ray MRI (magnetic resonance imaging) ECG (electrocardiography) EEG (electroencephalography) Microscopy etc...

Data Analysis

 Analyse tests’ data and give some preliminary

conclusions

 Analyse patients records to show possible health

problems in the future or with the prescription

Repository of Knowledge and Data Access

 To be able to access all new knowledge in an instant  To have some sort of registry  To be able to use gathered information directly for

teaching or learning purposes

 Etc.

GRID as a Distributed System

 GRID ‐ the combination

• f computer resources

from multiple administrative domains to reach a common goal

 Grids are a form of

distributed computing whereby a “super virtual computer” is composed

• f many networked

computers acting together to perform very large tasks

What can we have from GRIDS?

 We can have resources on demand. For example we

can get huge computational power when we need it.

 We can create a “virtual network” to exchange data

between health care facilities. That means, that we do not need to store all medical records about one pacient in one “center”, but rather we can access it if we need it. What’s more important, we don’t need to know where that data is. This solves few problems like: huge storages or slow obtaining of data.

What do we have?

National Health Insurance Fund

What can we have?

GRID

Anonymization Repository (Cloud) Analytical server (Supercom puter) Deanonymization Private and everyday usage Data access for curing, teaching

• r learning, trauma registries,

etc.