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In this paper, we address the problem of run-time resource management in non-ideal multiprocessor platforms where communication happens via the Network-on-chip (NoCs) approach. More precisely, we propose a system-level fault-tolerant technique for application mapping which aims at optimizing the entire system performance and communication energy consumption, while considering the occurrence of permanent,...
<para> In this paper, we propose a run-time strategy for allocating application tasks to embedded multiprocessor systems-on-chip platforms where communication happens via the network-on-chip approach. As a novel contribution, we incorporate the user behavior information in the resource allocation process; this allows the system to better respond to real-time changes and to adapt dynamically...
Achieving effective run-time mapping on multiprocessor systems-on-chip (MPSoCs) is a challenging task, particularly since the arrival order of the target applications is not known a priori. This paper targets real-time applications which are dynamically mapped onto embedded MPSoCs, where communication happens via the Network-on-Chip (NoC) approach, and resources connected to the NoC have multiple...
In this paper, we propose an efficient technique for run-time application mapping onto Network-on-Chip (NoC) platforms with multiple voltage levels. Our technique consists of a region selection algorithm and a heuristic for run-time application mapping which minimizes the communication energy consumption, while still providing the required performance guarantees. The proposed technique allows for...
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