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To get efficient HW management in 2D Reconfigurable Systems, heuristics are needed to select the best place to locate each arriving task. We propose a technique that locates the task next to the borders of the free area for as many cycles as possible, trying to minimize the area fragmentation. Moreover, we combine it with a look-ahead heuristic that allows(More)
Hyperspectral imaging is a new emerging technology in remote sensing which generates hundreds of images, at different wavelength channels, for the same area on the surface of the Earth. Over the last years, many algorithms have been developed with the purpose of finding endmembers, assumed to be pure spectral signatures in remotely sensed hyperspectral data(More)
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This research work presents a novel proposal to get hardware multitasking in 3D FPGAs. Such architectures are still academic, but recent advances in 3D IC technologies allow foreseeing true 3D FPGAs in the near future. Starting from models for the 3D FPGA and for the tasks, an efficient technique for managing the 3D reconfigurable resources is proposed.(More)
A challenging problem in spectral unmixing is how to determine the number of endmembers in a given scene. One of the most popular ways to determine the number of endmembers is by estimating the virtual dimensionality (VD) of the hyperspectral image using the well-known Harsanyi–Farrand–Chang (HFC) method. Due to the complexity and high dimensionality of(More)
Due to the emergence of highly dynamic multimedia applications there is a need for flexible platforms and run-time scheduling support for embedded systems. Dynamic Reconfigurable Hardware (DRHW) is a promising candidate to provide this flexibility but, currently, not sufficient run-time scheduling support to deal with the run-time reconfigurations exists.(More)