Recent landscape evolution at the "Barranco del Río Dulce Natural Park" (Spain). Landscape units and mapping

Landscape units based on the visual features of the relief have been distinguished in the “Barranco del Río Dulce Natural Park” (Spain). These units are geomorphic entities composed of several elementary landforms and characterized by a visual internal homogeneity, and contrast with other landscape units in their location, height, profile and gradients, reflecting their different evolution and genesis. Landscape units bear some subjectivity in their definition and in their boundary location due to the overlapping of geomorphic processes along time. Visual, compositional and conventional boundaries have been used for mapping. Neogene landscape evolution mainly occurred through thrust faulting at the Iberian Ranges-Tagus Basin boundary, driving tectonic uplift and erosion of the Ranges and correlative sedimentation in the Basin. Erosion of the Ranges occurred with the development of planation surfaces, leaving minor isolated reliefs in the upland plains landscape. The lowering of the base level, caused by the endorheic–exorheic transition of the Tagus Basin in the Pliocene, originates fluvial entrenchment and water table lowering with development of the first fluvial valleys and the capture of karstic depressions. Two subsequent phases of renewed fluvial incision (Pleistocene) lead to abandonment of some Pliocene valleys, fluvial captures, and development and reincision of tributaries

A Mapping-Scheduling Algorithm for Hardware Acceleration on Reconfigurable Platforms

Reconfigurable platforms are a promising technology that offers an interesting trade-off between flexibility and performance, which many recent embedded system applications demand, especially in fields such as multimedia processing. These applications typically involve multiple ad-hoc tasks for hardware acceleration, which are usually represented using formalisms such as Data Flow Diagrams (DFDs), Data Flow Graphs (DFGs), Control and Data Flow Graphs (CDFGs) or Petri Nets. However, none of these models is able to capture at the same time the pipeline behavior between tasks (that therefore can coexist in order to minimize the application execution time), their communication patterns, and their data dependencies. This paper proves that the knowledge of all this information can be effectively exploited to reduce the resource requirements and the timing performance of modern reconfigurable systems, where a set of hardware accelerators is used to support the computation. For this purpose, this paper proposes a novel task representation model, named Temporal Constrained Data Flow Diagram (TCDFD), which includes all this information. This paper also presents a mapping-scheduling algorithm that is able to take advantage of the new TCDFD model. It aims at minimizing the dynamic reconfiguration overhead while meeting the communication requirements among the tasks. Experimental results show that the presented approach achieves up to 75% of resources saving and up to 89% of reconfiguration overhead reduction with respect to other state-of-the-art techniques for reconfigurable platforms.