Support for Parallel and Distributed Computing EducationSupervisor: doc. Ing. Michal Čerňanský, PhD.
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|Project description:||Today's trend to increase computational performance is to incorporate multiple processor cores into a single processor chip. Computer clusters organized into grids are providing computational power for tasks requiring high performance. Currently a lot of attention is aimed at general purpose computation on highly parallel many-core graphic processing units. Hence the abilities and knowledge related to parallel and distributed processing have become indispensable for any application developer. High schools and universities providing education in information technologies should devote much more attention to themes related to parallel and distributed processing. Several areas related to parallel and distributed computing will be processed and incorporated into existing and new courses in computer science bachelor and master degree programs. These areas include but are not limited to scientific computing, high performance computing, parallel programming, theory of parallel and distributed computing, parallel computer systems. Also research projects in fields such as machine learning, computer graphics, computer vision, graph processing and visualization carried out at faculty can significantly benefit from modern trends in parallel and distributed processing.|
|Kind of project:||KEGA ()|
|Department:||Institute of Applied Informatics (FIIT)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2010|
|Project close date:||31. 12. 2011|
|Number of workers in the project:||13|
|Number of official workers in the project:||0|