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This paper investigates the use of 64-bit ARM cores to improve the processing efficiency of upcoming HPC systems. It describes a set of available tools, models and platforms, and their combination in an efficient methodology for the design space exploration of large manycore computing clusters. Experimentations and results using representative benchmarks allow to set an exploration approach to evaluate...
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...
GRECO is a french ANR (National Research Agency) project whose aim is to design an energy efficient wireless platform that would be totally autonomous thanks to energy harvesting capabilities and adaptive power managing. To reach this goal, GRECO partners are developing a complete modeling that will be used to evaluate the different power optimization strategies leading to energy neutral operations...
This paper considers the problem of power/energy minimization for periodic real-time tasks that are scheduled over multiprocessor platforms that have dynamic power management (DPM) and dynamic voltage & frequency scaling (DVFS) capabilities. Early research reports that while both DPM and DVFS policies perform well individually for a specific set of conditions, they often outperform each other...
Emerging trends in applications with the requirement of considerable computational capacity and decreasing time-to-market have urged the need of multiprocessor systems. With the advent of multiprocessor systems, there is an increased demand to efficiently control their energy and power budget. As the technology scales to increasingly smaller feature sizes, the static power consumption is expected...
In order to compare the energy efficiency of data dissemination algorithms for wireless sensor networks, we use different performance evaluation techniques. It includes either the simulation of protocol in a simulator or analysis based on an analytical model. In this article, we propose an analytical energy consumption model for grid based data gathering schemes in WSN. The purpose of this article...
The intent of the recent H.264/AVC standard is to provide high quality video at low bit-rates and work effectively on a wide variety of networks and systems. A promising application is video broadcasting on mobile terminals butin practice, increased processing power and power management are required for embedded systems. In this paper, we consider an embedded multiprocessor to answer these requirements...
In order to minimize the main memory consumption, a multi-bank architecture is adopted. The main advantage in this architecture is the capability of setting banks in low power modes when they are not accessed, such that only the accessed bank is maintained in active mode. In this paper, an heuristic approach is developed at system level to find, both an efficient allocation of application's tasks...
Modern DRAM technologies offer power management features for energy consumption optimization. It consists of multi-banking the addressing space instead of monolithic memory. The main advantage in this approach is the capability of setting banks in low power modes when they are not accessed, such that only the accessed bank is maintained in active mode. In this paper we investigate how this power management...
Several techniques were developed to reduce processor consumption which was the predominant source of dissipation. However with the technology evolution and the development of new applications that make heavy use of large memory data size, the energy savings obtained by these techniques become limited. In this article we showed that dynamic voltage frequency scaling technique (DVFS) increases the...
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