Dynamically Shifted Scrubbing for Fast Fpga Repair

Field Programmable Gate Arrays (FPGAs) are very successful platforms that rely on large configuration memories to store the circuit functions required by users. Faults affecting such memories are a major dependability threat for these devices, and the applicability of FPGAs on critical systems depends on efficient means to mitigate their effects. The usual means to effectively remove such faults, namely configuration scrubbing, consists in rewriting the desired contents of the configuration memory. The scrubbing process suffers from high power consumption and a long mean time to repair (MTTR). In this work we propose a novel approach to enable selfdiagnosed circuits that, by being aware of their own disposition on the FPGA fabric are able to greatly reduce the MTTR.