Andrea Acquaviva

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Portable systems require long battery lifetime while still delivering high performance. Dynamic voltage scaling (DVS) algorithms reduce energy consumption by changing processor speed and voltage at run-time depending on the needs of the applications running. Dynamic power management (DPM) policies trade off the performance for the power consumption by(More)
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)
A new class of wireless sensor networks that harvest power from the environment is emerging because of its intrinsic capability of providing unbounded lifetime. While a lot of research has been focused on energy-aware routing schemes tailored to battery-operated networks, the problem of optimal routing for energy harvesting wireless sensor networks(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)
With the advent of multi-processor systems-on-chip, the interest in process migration is again on the rise both in research and in product development. New challenges associated with the new scenario include increased sensitivity to implementation complexity, tight power budgets, requirements on execution predictability, and the lack of virtual memory(More)
Body Area Sensor Networks (BASN) are an emerging technology enabling the design of natural Human Computer Interfaces (HCI) in the context of Ambient Intelligence. This class of interactive applications poses new challenges on sensor network design that are hard to be faced using traditional solutions optimized for environmental monitoringlike applications.(More)
This paper presents two automated methods for the segmentation of immunohistochemical tissue images that overcome the limitations of the manual approach as well as of the existing computerized techniques. The first independent method, based on unsupervised color clustering, recognizes automatically the target cancerous areas in the specimen and disregards(More)
In this paper we propose a methodology to analyze the energy overhead due to the presence of an embedded operating system in a wearable device. Our objective is to determine the key parameters affecting the energy consumption of the RTOS allowing the development of more efficient OS-based power management policies. To achieve this target, we propose a(More)
Die-temperature control to avoid hotspots is increasingly critical in multiprocessor systems-on-chip (MPSoCs) for stream computing. In this context, thermal balancing policies based on task migration are a promising approach to redistribute power dissipation and even out temperature gradients. Since stream computing applications require strict quality of(More)
ABSTRACT Portable systems require long battery lifetime while still delivering high performance. Dynamic voltage scaling (DVS) algorithms reduce energy consumption by changing processor speed and voltage at run-time depending on the needs of the applications running. Dynamic power management (DPM) policies trade o the performance for the power consumption(More)