FARM: Fault-aware resource management in NoC-based multiprocessor platforms

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, transient, and intermittent faults in the system. As the main theoretical contribution, we address the problem of spare core placement and its impact on system fault-tolerance (FT) properties. Then, we investigate several metrics and provide insight into the fault-aware resource management process for such non-ideal multiprocessor platforms. Experimental results show that our proposed resource management technique is efficient and highly scalable and significant throughput improvements can be achieved compared to the existing solutions that do not consider failures in the system.