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In real-time systems, the use of hardware accelerators can lead to a worst-case execution-time speed-up, to a simplification of its analysis, and to a reduction of its pessimism. When using FPGA technology, dynamic partial reconfiguration (DPR) can be used to minimize the area, by only loading those accelerators that are needed at any given point in time. The DPR controllers provided by the FPGA vendors...
The emerging Fog Computing paradigm provides an additional computational layer that enables new capabilities in real-time data-driven applications. This is especially interesting in the domain of Smart Grid as the boundaries between traditional generation, distribution, and consumer roles are blurring. This is a reflection of the ongoing trend of intelligence distribution in Smart Systems. In this...
Self-healing is an increasingly popular approach to ensure resiliency, that is, a proper adaptation to failures and attacks, in cyber-physical systems (CPS). A very promising way of achieving self-healing is through structural adaptation (SHSA), by adding and removing components, or even by changing their interaction, at runtime. SHSA has to be enabled and supported by the underlying platform, in...
This paper proposes a generic hardware architecture for runtime acceleration of heterogeneous high performance computing (HPC) clusters. This runtime accelerator performs real time resource allocation and management of HPC systems with low latency on multiple time scales. One of the target applications is to perform the signal processing in wireless communication systems such as LTE and 5G over the...
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