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Designing low power complex embedded systems is now a critical challenge for a large number of electronic corporations. Low power is generally critical due to its impact on lifetime, battery longevity, battery capacity, temperature constraints, etc. Unfortunately, when a designer needs some power estimations about its design, the methods and tools which can help him are not sufficient. Indeed, there...
Designing low power complex embedded systems is a main challenge for corporations in a large number of electronic domains. There are multiple motivations which lead designers to consider low power design such as increasing lifetime, improving battery longevity, limited battery capacity, and temperature constraints, etc. Unfortunately, there is a lack of efficient methodology and accurate tool to obtain...
Software is usually complex and always intangible. In practice, the development and maintenance processes are time-consuming activities mainly because software complexity is difficult to manage. Graphical visualization of software has the potential to result in a better and faster understanding of its design and functionality, thus saving time and providing valuable information to improve its quality...
Reducing memory energy consumption in embedded systems is crucial. In this paper, we propose new sequential and distributed algorithms based on Simulated Annealing (SA) in order to reduce memory energy consumption in embedded systems. Our algorithms outperform the Tabu Search (TS) approach. In fact, our algorithms manage to consume nearly from 76% up to 98% less memory energy than TS. Execution time...
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