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This dissertation introduces FESM (Flood Event Simulation Model), a Geographic Information System (GIS) tool designed for use on gaged river systems that can be used to guide logistic support during disaster events. FESM rapidly generates flood predictions using elevation data from real-world sensors or generated by other models. Verification and validation data for FESM are provided. In order to construct a visualization system for interacting with FESM outputs, single buffer and dual buffer techniques for moving massive datasets to the GPU for processing using OpenCL were rigorously tested and timed, and an analysis of the costs/benefits of using buffers or images was conducted. Finally, DRO (Dynamic Raster Overlay), a visualization system for analysis of datasets composed of multiple overlapping flood maps is introduced, and expert feedback is provided on the effectiveness of DRO with selected case studies.

The following diploma thesis is devoted to the desktop sharing description and its opportunities. Existing solutions and their advantages and disadvantages are described at the beginning of the text. The most extensive part deals with the design and the implementation of a new solution for the desktop sharing. The thesis aims at providing a possibility to observe desktop of one computer from another one. For achieving it, two appliactions (a server and a client) have been developed, and they are described in the text with utilization of UML (Unified Modeling Language) diagrams. The RFB (Remote Framebuffer) protocol has been chosen as the means for communication between the applications. A detailed description of this protocol is also included in the text. The developed solution is tested and compared with other similar applications in the final part of the work. After that, some areas needing slight improvements are named to achieve competitiveness of the developed solution with other applications of a similar type.

This thesis deals with design and implementation of an application for medical data imaging in real-time. The first part of project is focused on methods for obtaining data in medical practice and visualization of large volume data on computer using familiar rendering approaches. Similar applications are used outside of medicine in other fields, such as chemistry to display molecular structures or microorganisms. Another part of project will focus on benefits of visualization of volumetric data using programmable hardware and new methods of parallelization of algorithms on graphics card using CUDA technology, and OpenCL. The resulting application will display the volume of medical data based on selected method accelerated by programmable shaders, and time-consuming operations will be paralleled on graphics card.

This work describes and implementing method for volume data rendering. Main purpose of this work is visualization of scanned 3D data with some current method used for the 3D volumetric scanning. The 3D volumetric scanning is mainly used in medicine and chemistry. System is using programmable pipeline of current graphic cards, which provides us fast parallel work with large volumetric data. This paper introduces some basics about the volumetric rendering and scanning, describes design and at the end, the implementation steps. Result of this project is application which renders volumetric data with OpenGL.