Using Parallel Computing to Reduce CPU Power

Jérôme Galtier 1
1 SLOOP - Simulation, Object Oriented Languages and Parallelism
CRISAM - Inria Sophia Antipolis - Méditerranée , COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : In this paper, we analyze parallelism as an energy-saving technique for mobile terminal or on-board systems. We show that the expected gains are considerable. However, some natural constraints can appear when applying massively this idea. Therefore, we analyze this concept on a simple model in an environment where either the space for circuitry is restricted, or the total weight of the system, including energy sources, has to be minimized. It turns to give new types of CAD problems. Finally, we analyze fault tolerance issues and solutions in a satellite-like environment.
Type de document :
RR-3621, INRIA. 1999
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Soumis le : mercredi 24 mai 2006 - 11:43:04
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : dimanche 4 avril 2010 - 23:32:58



  • HAL Id : inria-00073056, version 1



Jérôme Galtier. Using Parallel Computing to Reduce CPU Power. RR-3621, INRIA. 1999. 〈inria-00073056〉



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