Design of an Adaptive 3D Graphics Embedded System

Abbes, F.; Amor, Nader Ben; Frikha, Tarek

doi:10.1007/978-94-007-5076-0_5

Cited by 2 publications

(1 citation statement)

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“…Self-adaptivity means that the system can modify dynamically the way services are provided according to imposed constraints using automata theory, for instance. Thus, the system has several states and each of them corresponds to a set of working parameters: the number of executed applications, the HW resources used, and the allocated real-time operation system (RTOS) services [3].…”

Section: Introductionmentioning

confidence: 99%

Self-Adaptive On-Chip System Based on Cross-Layer Adaptation Approach

Loukil

Amor

Abid

et al. 2013

International Journal of Reconfigurable Computing

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The emergence of mobile and battery operated multimedia systems and the diversity of supported applications mount new challenges in terms of design efficiency of these systems which must provide a maximum application quality of service (QoS) in the presence of a dynamically varying environment. These optimization problems cannot be entirely solved at design time and some efficiency gains can be obtained at run-time by means of self-adaptivity. In this paper, we propose a new cross-layer hardware (HW)/software (SW) adaptation solution for embedded mobile systems. It supports application QoS under real-time and lifetime constraints via coordinated adaptation in the hardware, operating system (OS), and application layers. Our method relies on an original middleware solution used on both global and local managers. The global manager (GM) handles large, long-term variations whereas the local manager (LM) is used to guarantee real-time constraints. The GM acts in three layers whereas the LM acts in application and OS layers only. The main role of GM is to select the best configuration for each application to meet the constraints of the system and respect the preferences of the user. The proposed approach has been applied to a 3D graphics application and successfully implemented on an Altera FPGA.

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Section: Introductionmentioning

confidence: 99%