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• W2897745397 abstract "Adaptivity to changing demands is a key feature of many systems in computationally challenging applications. This feature achieved with reconfigurable hardware, providing a good balance between implementation efficiency and flexibility. However, for some areas the specification may also include a high level of system dependability. In particular, FPGA-based implementations may be used in systems that require long-time dependable operation over several years. This paper presents a new approach for online self-detecting and handling permanent faults in the field programmable gate array (FPGA) based soft processors with the lowest overhead in time and area. The method presented includes both the fine-grain diagnosis of faults in an FPGA and a technique for repair by re-configuration at the lowest cost. The results were achieved using Xilinx FPGAs based on the 28 nm technology and two soft processors." @default.
• W2897745397 created "2018-10-26" @default.
• W2897745397 creator A5033937582 @default.
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• W2897745397 date "2018-08-01" @default.
• W2897745397 modified "2023-09-30" @default.
• W2897745397 title "Optimal Dependability and Fine Granular Error Resilience Methodology for Reconfigurable Systems" @default.
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• W2897745397 doi "https://doi.org/10.1109/dsd.2018.00048" @default.
• W2897745397 hasPublicationYear "2018" @default.
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