Project information
Highly Parallel and Distributed Computing Systems
- Project Identification
- MSM0021622419
- Project Period
- 1/2005 - 12/2011
- Investor / Pogramme / Project type
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Ministry of Education, Youth and Sports of the CR
- Research Intents
- MU Faculty or unit
- Faculty of Informatics
- Other MU Faculty/Unit
- Faculty of Science
- Other MU Faculty/Unit
- Institute of Computer Science
- Keywords
- Distributed Computing Systems; parallel Computing Systems
The main goal of this research proposal is to explore in depth how to effectively build and use large, scalable, complex, highly-reliable, and secure concurrent systems and how to make use of the computation and communication potential of large,distributed (also geographically), and parallel systems of heterogeneous computational resources, especially of the so called Grids. Another scientific goal is to design algorithms and automated systems for biomedical data processing using Grids.
Results
Publications
Total number of publications: 875
2011
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De- quantisation (Čína)
Year: 2011, type:
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De-quantisation (Alžírsko)
Year: 2011, type:
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De-randomization and de-quantisation
Year: 2011, type:
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Distributed Algorithms for SCC Decomposition
Journal of Logic and Computation, year: 2011, volume: 21, edition: 1, DOI
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Distributed Construction of Configuration Spaces for Real-Time Haptic Deformation Modeling
IEEE Transactions on Industrial Electronics, year: 2011, volume: 58, edition: 8, DOI
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Efficient Computation of Convolution of Huge Images
Image Analysis and Processing - ICIAP 2011, year: 2011
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Efficient Computation of Morphological Greyscale Reconstruction
Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (Selected Papers), year: 2011
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Efficient Data Representation of Large Job Schedules
MEMICS 2011, Revised Selected Papers, year: 2011
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Efficient Grid Scheduling through the Incremental Schedule-based Approach
Computational Intelligence, year: 2011, volume: 27, edition: 1, DOI
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Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures
Data Compression Conference (DCC), 2011, year: 2011