Abstract
Self-reconfiguration and adaptivity are important new concepts for reconfigurable hardware. The benefits include, for example, a reduction in power dissipation by sharing resources therefore requiring smaller reconfigurable chips. Idle applications are substituted on demand by actually needed functions. As a result, the number of possible functions controlled by such systems increases without raising the number of additionally required processing elements. Parallel tasks (functions) in hardware execute more efficiently compared with sequential microprocessors. The high performance of reconfigurable hardware and the possibility of hardware parallelization, help to overcome increasing problems of data processing with traditional microcontroller and microprocessors in future complex electronic systems. A relevant issue is the use of adaptive reconfigurable systems in real-time applications, which is one of the basic conditions for a variety of target applications. New approaches to create systems, which are able to manage their own configuration are called run-time systems. These systems use the flexibility of e.g. an FPGA by partially changing the configuration. Only the necessary functions are configured in the chip’s memory. On demand one or more functions can be substituted by another while other parts stay operative. The ALadyn project targets exactly this kind of adaptive system approach and investigates in the physical hardware realization, system modeling and development tools.
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Braun, L. et al. (2010). Adaptive Runtime System with Intelligent Allocation of Dynamically Reconfigurable Function Model and Optimized Interface Topologies. In: Platzner, M., Teich, J., Wehn, N. (eds) Dynamically Reconfigurable Systems. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3485-4_12
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