Many real-timesystems employed in defense, space, and consumer applications have power constraints and high reliability requirements. In this paper, we focus on the relationship between fault tolerance techniques and...
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Many real-timesystems employed in defense, space, and consumer applications have power constraints and high reliability requirements. In this paper, we focus on the relationship between fault tolerance techniques and energy consumption. In particular, we establish the energy efficiency of Application Level Fault Tolerance (ALFT) over other software-based fault tolerance methods. We then develop sensible energy-aware heuristics for ALFT schemes. The heuristics yield up to 40% energy savings.
SDL is currently gaining interest as a system level specification language for HW/SW codesign. Automated synthesis of SDL in hardware so far had problems with its efficiency. The investigations on the resource usage o...
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SDL is currently gaining interest as a system level specification language for HW/SW codesign. Automated synthesis of SDL in hardware so far had problems with its efficiency. The investigations on the resource usage of SDL-to-VHDL designs presented in this paper identify two key challenges: minimizing the overhead introduced by SDL process infrastructure, and choosing the appropriate synthesis method. This paper presents a framework for SDL hardware synthesis where VHDL code generation, high-level synthesis and RT-level synthesis are combined. A configurable run-time environment implements services like data handling and message passing in efficient, hand-coded library components, which take into account properties of the target architecture. For these components RT-level synthesis was found to be suitable. The behavior of each SDL process on the other hand is freely specified by the system designer. Depending on the type of application, i.e. complex data-oriented or control-oriented either high-level synthesis, RT-level synthesis, or a combination of both can prove to be optimal.
We develop a novel technique to exploit the extensive data sets provided by underwater neutrino telescopes to gain information on bioluminescence in the deep sea. The passive nature of the telescopes gives us the uniq...
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