Antoine White

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We have proposed self-adaptive architectures as an ideal approach for solving problems of aerial image understanding [1]. It is clear that these architectures are useful for a broad collection of problems, including problems of highly volatile dynamic embedded applications. In order to demonstrate such capability, we are expanding and extending the GRAVA(More)
This paper presents an overview of a software design framework for the development of object-oriented simulations. The framework is documented using the Unified Modeling Language (UML) and is divided into packages to organize the collection of classes into important functional areas. The purpose of the framework is two-fold. First, the framework is useful(More)
This paper presents an overview of a software design framework for the development of object-oriented simulations. The framework is documented using the Unified Modeling Language (UML) and is divided into packages to organize the collection of classes into important functional areas. The purpose of the framework is two-fold. First, the framework is useful(More)
Heterogeneous computing systems can dramatically increase the performance of parallel applications on clusters. Currently, most applications that utilize OpenCL devices (CPUs, GPUs, Accelerators), run their device-specific code only on devices of the same computer were the application runs. This paper presents the VirtualCL (VCL) cluster platform, a wrapper(More)
In recent years the benefits of fusing signatures extracted from large amounts of distributed and/or heterogeneous data sources have been largely documented in various problems ranging from biological protein function prediction to cyberspace monitoring. In spite of significant progress in information fusion research, there is still no formal theoretical(More)