2003 IEEE Radiation Effects Data Workshop
DOI: 10.1109/redw.2003.1281354
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SEU mitigation testing of Xilinx Virtex II FPGAs

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Cited by 52 publications
(22 citation statements)
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“…The novel approach, here proposed for fast detecting and correcting SEU-induced configuration errors, exploits the internal dynamic partial readback and reconfiguration capabilities introduced in the XILINX Virtex FPGA families, extensively employed in numerous space missions [12][13]. Error Detection And Correction (EDAC) Hamming Codes [14] of the configuration bitstream are precomputed by an on purpose software, and then stored in a TMR-ed reference memory inside the SFPGA during its first configuration.…”
Section: Fig 1 Traditional Rhdb Methodologies; (A) the Tmr Solutionmentioning
confidence: 99%
“…The novel approach, here proposed for fast detecting and correcting SEU-induced configuration errors, exploits the internal dynamic partial readback and reconfiguration capabilities introduced in the XILINX Virtex FPGA families, extensively employed in numerous space missions [12][13]. Error Detection And Correction (EDAC) Hamming Codes [14] of the configuration bitstream are precomputed by an on purpose software, and then stored in a TMR-ed reference memory inside the SFPGA during its first configuration.…”
Section: Fig 1 Traditional Rhdb Methodologies; (A) the Tmr Solutionmentioning
confidence: 99%
“…An external scrubber in combination with TMR was successfully tested on a Virtex-II X-2V1000 device in [37]. The scrubber (referred as configuration monitor) was implemented on an auxiliary FPGA under the control of a host computer.…”
Section: A External Vs Internal Scrubbermentioning
confidence: 99%
“…Using basic SEU mitigation by dedicated design measures (e.g. in operation functional testing of the device, configuration memory scrubbing, Triple Modular Redundancy, TMR) the expected SEU rates for a broad range of applications can be reduced to negligible or at least tolerable values [5], [6]. Zero effective upsets is not our objective, but to achieve the optimum availability for given system constraints (cost, performance, mass, etc.…”
Section: Soc Dpu Design Variantsmentioning
confidence: 99%