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The need for performance and energy efficiency in mobile devices is apparent with the obvious shifting of more intensive computation to mobile platforms. In this paper, we first make a clear distinction between performance and energy issues. Apart from showing that performance efficiency is neither co-related with energy-efficiency nor inefficiency, we focus on programming methodologies and software...
Debugging field failures can be a challenging task for app-developers. Insufficient or unreliable information, improper assumptions and multitude of devices (smartphones) being used, are just some of the many factors that may contribute to its challenges. In this work, we design and develop an open-source framework that helps to communicate, localize and patch energy consumption related field failures...
Mobile devices, such as smartphones and tablets, are energy constrained by nature. Therefore, apps targeted for such platforms must be energy-efficient. However, due to the use of energy oblivious design practices often this is not the case. In this paper, we present a light-weight re-factoring technique that can assist in energy-aware app development. Our technique relies on a set of energy-efficiency...
Real-time, embedded software are constrained by several non-functional requirements, such as timing. With the ever increasing performance gap between the processor and the main memory, the performance of memory subsystems often pose a significant bottleneck in achieving the desired performance for a real-time, embedded software. Cache memory plays a key role in reducing the performance gap between...
Hard real-time systems are required to meet critical deadlines. Worst case execution time (WCET) is therefore an important metric for the system level schedulability analysis of hard real-time systems. However, performance enhancing features of a processor (e.g. pipeline, caches) makes WCET analysis a very difficult problem. In this paper, we propose a novel approach to combine abstract interpretation...
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