The KreaTV Application Development Kit (ADK) product of Motorola enables application developers to create high level applications and browser plugins for the IPSTB system. As a result, customers will reduce development time, cost and supplier dependency. The main goal of this thesis was to port this platform to a standard Linux PC to make it easy to trace the bugs and debug the code. This work has been done by implementing a hardware abstraction layer (HAL) for Linux Operating System. HAL encapsulates the hardware dependent code and HAL APIs provide an abstraction of underlying architecture to the operating system and to application software. So, the embedded platform can be emulated on a standard Linux PC by implementing a HAL for it. We have successfully built the basic building blocks of HAL with some performance degradation. We are able to start up the application platform, use graphics mixing features and play a video via filtering the data from the transport stream and decoding it. But there is still a lot of work to do to build the whole HAL for all the platform to be run smoothly as they do on a set-top box hardware.

<p>As a result of Web 2.0 technologies such as Asynchronous JavaScript and XML (Ajax) web-based applications with rich contents are evolving to be more and more like normal applications in aspects, such as interactivity, functionality, and usability. This evolvement makes it possible to create web-based services, providing maps for users to search and browse geographic information. This thesis is an evaluation of functionality, usability and accuracy for the four web-based map APIs: Google Maps, Microsoft Virtual Earth, Multimap and ViaMichelin.</p><p>The thesis explains how web-based mapping works, common functionality provided, and evaluates the functionality provided by each map service provider as well as the offered usability. In addition to this, it also includes the results of several tests, illustrating the APIs’ browser compatibility, performance and accuracy.</p><p>After testing and evaluation of the four APIs, the conclusion is that none of them can be appointed as the winner. They all have benefits and drawbacks; differences in terms of functionality, compatibility, usability, geocoding and development support, and the choice of API is consequently dependent of the type of application. As a result of this, and the fact that the APIs are constantly changing in terms of functionality and coverage, it is important to create applications independent of the map service provider. This was successfully done during the internship at Amadeus by creating a map abstraction layer in-between the applications and the maps, creating the possibility to switch API, or map service provider, without changed the code.</p>

As a result of Web 2.0 technologies such as Asynchronous JavaScript and XML (Ajax) web-based applications with rich contents are evolving to be more and more like normal applications in aspects, such as interactivity, functionality, and usability. This evolvement makes it possible to create web-based services, providing maps for users to search and browse geographic information. This thesis is an evaluation of functionality, usability and accuracy for the four web-based map APIs: Google Maps, Microsoft Virtual Earth, Multimap and ViaMichelin. The thesis explains how web-based mapping works, common functionality provided, and evaluates the functionality provided by each map service provider as well as the offered usability. In addition to this, it also includes the results of several tests, illustrating the APIs’ browser compatibility, performance and accuracy. After testing and evaluation of the four APIs, the conclusion is that none of them can be appointed as the winner. They all have benefits and drawbacks; differences in terms of functionality, compatibility, usability, geocoding and development support, and the choice of API is consequently dependent of the type of application. As a result of this, and the fact that the APIs are constantly changing in terms of functionality and coverage, it is important to create applications independent of the map service provider. This was successfully done during the internship at Amadeus by creating a map abstraction layer in-between the applications and the maps, creating the possibility to switch API, or map service provider, without changed the code.

This diploma thesis is containing the description of the LabVIEW Instrument Control Toolbox project. Initial preparations like the development environment choosing process, as well as the instrument driver layer choice are present along with the project requirements. A signal approach to the instrument control is defined and described in detail. This thesis also contains the main project development in The National Instruments LabVIEW and at the end, a detailed description and user guidance for each developed and fully integrated toolbox module.

To leverage the extreme parallelism of emerging architectures, so that scientific applications can fulfill their high fidelity and multi-physics potential while sustaining high efficiency relative to the limiting resource, numerical algorithms must be redesigned. Algorithmic redesign is capable of shifting the limiting resource, for example from memory or communication to arithmetic capacity. The benefit of algorithmic redesign expands greatly when introducing a tunable tradeoff between accuracy and resources. Scientific applications from diverse sources rely on dense matrix operations. These operations arise in: Schur complements, integral equations, covariances in spatial statistics, ridge regression, radial basis functions from unstructured meshes, and kernel matrices from machine learning, among others. This thesis demonstrates how to extend the problem sizes that may be treated and to reduce their execution time. Two “universes” of algorithmic innovations have emerged to improve computations by orders of magnitude in capacity and runtime. Each introduces a hierarchy, of rank or precision. Tile Low-Rank approximation replaces blocks of dense operator with those of low rank. Mixed precision approximation, increasingly well supported by contemporary hardware, replaces blocks of high with low precision. Herein, we design new high-performance direct solvers based on the synergism of TLR and mixed precision. Since adapting to data sparsity leads to heterogeneous workloads, we rely on task-based runtime systems to orchestrate the scheduling of fine-grained kernels onto computational resources. We first demonstrate how TLR permits to accelerate acoustic scattering and mesh deformation simulations. Our solvers outperform the state-of-art libraries by up to an order of magnitude. Then, we demonstrate the impact of enabling mixed precision in bioinformatics context. Mixed precision enhances the performance up to three-fold speedup. To facilitate the adoption of task-based runtime systems, we introduce the AL4SAN library to provide a common API for the expression and queueing of tasks across multiple dynamic runtime systems. This library handles a variety of workloads at a low overhead, while increasing user productivity. AL4SAN enables interoperability by switching runtimes at runtime, which permits to achieve a twofold speedup on a task-based generalized symmetric eigenvalue solver.