A comparison connection assignment for diagnosis of multiprocessor systems
ISCA '80 Proceedings of the 7th annual symposium on Computer Architecture
xpipes: a Latency Insensitive Parameterized Network-on-chip Architecture For Multi-Processor SoCs
ICCD '03 Proceedings of the 21st International Conference on Computer Design
Supporting task migration in multi-processor systems-on-chip: a feasibility study
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Fault-Tolerant Systems
pn: a tool for improved derivation of process networks
EURASIP Journal on Embedded Systems
Assessing task migration impact on embedded soft real-time streaming multimedia applications
EURASIP Journal on Embedded Systems - Operating System Support for Embedded Real-Time Applications
Online Periodic Self-Test Scheduling for Real-Time Processor-Based Systems Dependability Enhancement
IEEE Transactions on Dependable and Secure Computing
A Safari Through the MPSoC Run-Time Management Jungle
Journal of Signal Processing Systems
A task remapping technique for reliable multi-core embedded systems
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Systematic software-based self-test for pipelined processors
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Online task remapping strategies for fault-tolerant Network-on-Chip multiprocessors
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
A middleware approach to achieving fault tolerance of Kahn process networks on networks on chips
International Journal of Reconfigurable Computing - Special issue on selected papers from the international workshop on reconfigurable communication-centric systems on chips (ReCoSoC' 2010)
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Modern embedded systems increasingly require adaptive run-time management of available resources. One method for supporting adaptivity is to implement run-time application mapping. The system may adapt the mapping of the applications in order to accommodate the current workload conditions, to balance the computing load for efficient resource utilization, to meet quality of service agreements, to avoid thermal hot-spots, and to reduce power consumption. As the possibility of experiencing run-time faults becomes increasingly relevant with deep-sub-micron technology nodes, in the scope of the MADNESS project, we focused particularly on the problem of graceful degradation by dynamic remapping in presence of run-time faults. In this paper, we summarize the major results achieved in the MADNESS project regarding the system adaptivity and fault-tolerant processing. We report the results of the integration between platform level and middleware level support for adaptivity and fault-tolerance. Two case studies demonstrate the survival ability of the system via a low-overhead process migration mechanism and by taking near optimal remapping decisions at run-time.