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In recent years, the focus of computing has moved away from performance-centric serial computation to energy-efficient parallel computation. This necessitates run-time optimisation techniques to address the dynamic resource requirements of different applications on many-core architectures. In this paper, we report on intelligent run-time algorithms which have been experimentally validated for managing...
Embedded systems execute applications with varying performance requirements. These applications exercise the hardware differently depending on the computation task, generating varying workloads with time. Energy minimization with such workload and performance variations within (intra) and across (inter) applications is particularly challenging. To address this challenge, we propose an online approach,...
Applications running on smartphones interact with the hardware and the system software differently, resulting in widely varying power consumption and hence thermal profiles. Typically, these smartphone platforms expose some hardware power control features to users, controlled through software governors such as cpufreq for dynamic voltage-frequency scaling (DVFS) and cpuquiet for dynamic core selection...
Efficient multihop data dissemination is a crucial building block to enable mature wireless sensor network (WSN) applications. Exploiting machine learning for these routing problems has received increasing attention in recent years due to its flexibility and localized mechanisms. However, with such an approach the resulting protocols often have additional memory and processing time requirements. Nevertheless,...
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