Andrea Alimonda

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Runtime frequency and voltage adaptation has become very attractive for current and next generation embedded multicore platforms because it allows handling the workload variabilities arising in complex and dynamic utilization scenarios. The main challenge of dynamic frequency adaptation is to adjust the processing speed of each element to match the(More)
In this work, we describe a control theoretic approach to dynamic voltage/frequency scaling (DVFS) in a pipelined MPSoC architecture with soft real-time constraints, aimed at minimizing energy consumption with throughput guarantees. Theoretical analysis and experiments carried out on a cycle-accurate, energy-aware, and multiprocessor simulation platform are(More)
In this work we take a control theoretic approach to the dynamic voltage/frequency scaling (DVS) in a MPSoC architecture with mixed pipelined/parallel processing. The aim is that of minimizing energy consumption with throughput guarantees. Theoretical analysis and experiments, carried out on a cycle-accurate, energy-aware, multiprocessor simulation(More)
Dynamic task mapping solutions based on task migration has been recently explored to perform run-time reallocation of task to maximize performance and optimize energy consumption in MPSoCs. Even if task migration can provide high flexibility, its overhead must be carefully evaluated when applied to soft real-time applications. In fact, these applications(More)
In this work we take a control-theoretic approach to feedback-based dynamic voltage scaling (DVS) in multi processor system on chip (MPSoC) pipelined architectures. We present and discuss a novel feedback approach based on both linear and non-linear techniques aimed at controlling interprocessor queue occupancy. Theoretical analysis and experiments, carried(More)
Dynamic voltage and frequency scaling (DVFS) has been extensively exploited in the context of hard real-time systems for the development of energy efficient task scheduling algorithms. However, when tasks are memory bounded, further energy improvement could be obtained. In this paper we analyze the effect of memory boundedness in a state-of-the-art energy(More)
Leakage power has an increasing relevance for recent and future embedded technologies. Moreover, its contribution is heavily dependent on runtime temperature and process variations, that strongly impact the effectiveness of energy management strategies. Furthermore, in the context of streaming embedded systems, aggressive shutdown techniques that are(More)
A different type of stripe-geometry laser is demonstrated in which current confinement is achieved by selective diffusion of the n-type substrate prior to growth of the GaAs/GaAlAs heterostructure layers. This structure exhibits low room-temperature threshold currents resulting from the small lateral-current spreading from the edges of the stripe. Lowest(More)
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