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Context-Aware Dataflow Adaptation Technique for Low-Power Multi-Core Embedded Systems
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DOI：10.1145/3195970.3196015.png)
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Abstract
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Today's embedded systems operate under increasingly dynamic conditions. First, computational workloads can be either fluctuating or adjustable. Moreover, as many devices are battery -powered, it is common to have runtime power management technique, which results in dynamic power budget. This paper presents a design methodology for multi -core systems, based on dataflow specification, that can deal with various contexts. We optimize the original dataflow considering various working conditions, then, autonomously adapt it to a pre -defined optimal form in response to context changes. We show the effectiveness of the proposed technique with a real -life case study and synthetic benchmarks.
Keywords:
Context-awareness
multi-core
dataflow adaptation
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