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Today's Cyber-Physical Systems (CPS) are witnessing a growing complexity in terms of the number of components and computational power in order to meet the requirements of nowadays applications. For this reason and due to their energy efficiency, Multiprocessor system-on-chips (MPSoC) are becoming ubiquitous. Yet, since these systems are often used in battery-driven and/or small housing use cases,...
In this paper, an executable system model for performing a functional simulation while observing the dynamic effects of mixed-criticality requirements regarding applications with different levels of assurance is proposed. The model provides the expression of dynamic execution modes and execution time estimates on each criticality level of the system. In a refinement step, it is possible to observe...
Power dissipation is one of the key parameters when designing digital circuits. While an ASIC can be exactly fitted to the requirements, targeting an FPGA means to select one of many commercially available FPGAs having different power characteristics.
The ever rising energy and accordingly cooling demands are a major hurdle for the scalability of today's supercomputers. We are challenged with the need to increase computation performance to cope with the rising complexity of calculations on the one hand and the need to keep the energy/cooling demand stable or in the best case even to reduce it. Recently, one widely discussed way to do this is the...
The abstraction level of designing digital circuits is rising since high-level synthesis tools are gaining acceptance and are available from different vendors. Simultaneously, the demand for accurate energy estimations on higher abstraction levels is increasing. But estimating energy on these abstraction levels is a difficult task since switching capacitances and area depend on scheduling and allocation...
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