Microelectronics Reliability· 2026Q2
A robustness evaluation model for dynamic SEE testing in SRAM-based Xilinx UltraScale+ Field-Programmable Gate Arrays (FPGAs)
- 0citations
- Q2SCImago
- 2026year
Short summary
A new analytical framework quantifies the risk of functional failure in Xilinx UltraScale+ FPGAs due to radiation-induced single-event upsets (SEUs), showing that higher flip-flop density per configurable logic block (CLB) improves robustness.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed an analytical framework to evaluate FPGA robustness against SEEs.
- Links experimentally measured CLB and INT SEU sensitivities to application-level failure.
- Dynamic testing shows higher FF density per CLB improves functional robustness by reducing INT usage.
- Framework enables quantitative estimation of user-defined logic functional interrupt (ULFI) rates and MTTF.
AI-generated from the title and abstract; the full text is not read.
Abstract
SRAM-based FPGAs are widely deployed in radiation-prone environments but remain susceptible to single-event effects (SEE). This work develops and validates an analytical framework for evaluating the robustness of FPGA circuit implementations in Xilinx Virtex® UltraScale+™ FPGAs fabricated in 16 nm FinFET technology. By treating configurable logic block (CLB) and interconnect (INT) resources as independent contributors, the framework links their experimentally measured, resource-dependent SEU sensitivities to the probability of application-level functional failure. Static heavy-ion irradiation provides CLB and INT SEU parameters, which are then combined with implementation-dependent resource utilization to predict user-defined logic functional interrupt (ULFI) rates and mean time to failure (MTTF). A dynamic shift-register testbench is used as a controlled validation benchmark, demonstrating that the distribution of flip-flops (FF) across CLBs strongly influences ULFI susceptibility: higher flip-flop density per CLB, consistent with Vivado’s default placement, reduces interconnect usage and improves functional robustness. The proposed framework thus enables quantitative estimation of ULFI risk for the evaluated FPGA implementations from static single-event upset (SEU) data and supports informed choices of implementation strategy and scrubbing policy in space-grade FPGA systems.
The authors' abstract, as published at the source. Microelectronics Reliability, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Hardware and Architecture
Hardware and ArchitectureComputer Science