Statistical Method to Extract Radiation-Induced Multiple-Cell Upsets in SRAM-Based FPGAs

Radiation-induced multiple-cell upsets (MCUs) are a concern because they can overcome the protection of error correction code and triplicated designs. Extracting MCU data from radiation tests is helpful to perform more accurate fault injection tests, where MCUs could be simulated with the injection of bits based on the MCUs shapes, sizes, and frequencies. This article presents a statistical method to extract MCU shapes and frequencies from components with no information regarding their physical layout. The proposed method can be used to extract MCU information from BRAM and CRAM alike. The results show the MCU data for three families of Xilinx field-programmable gate arrays (FPGAs).

[1]  Heather Quinn,et al.  A Method and Case Study on Identifying Physically Adjacent Multiple-Cell Upsets Using 28-nm, Interleaved and SECDED-Protected Arrays , 2014, IEEE Transactions on Nuclear Science.

[2]  Heather Quinn Challenges in Testing Complex Systems , 2014, IEEE Transactions on Nuclear Science.

[3]  Hortensia Mecha,et al.  Statistical Anomalies of Bitflips in SRAMs to Discriminate SBUs From MCUs , 2016, IEEE Transactions on Nuclear Science.

[4]  D. Bortolato,et al.  Errata to “Identification and Classification of Single-Event Upsets in the Configuration Memory of SRAM-Based FPGAs” , 2003 .

[5]  Michael J. Wirthlin,et al.  High-speed programmable FPGA Configuration through JTAG , 2016, 2016 26th International Conference on Field Programmable Logic and Applications (FPL).

[6]  R.A. Reed,et al.  Characterizing SRAM Single Event Upset in Terms of Single and Multiple Node Charge Collection , 2008, IEEE Transactions on Nuclear Science.

[7]  Lawrence T. Clark,et al.  Methodical Design Approaches to Radiation Effects Analysis and Mitigation in Flip-Flop Circuits , 2014, 2014 IEEE Computer Society Annual Symposium on VLSI.

[8]  Michael J. Wirthlin,et al.  Dynamic SEE Testing of Selected Architectural Features of Xilinx 28 nm Virtex-7 FPGAs , 2017, 2017 17th European Conference on Radiation and Its Effects on Components and Systems (RADECS).

[9]  Richard Wong,et al.  Move the Laser Spot, Not the DUT: Investigating the New Micro-mirror Capability and Challenges for Localizing SEE Sites on Large Modern ICs , 2017, 2017 17th European Conference on Radiation and Its Effects on Components and Systems (RADECS).

[10]  Heather M. Quinn,et al.  An Introduction to Radiation-Induced Failure Modes and Related Mitigation Methods For Xilinx SRAM FPGAs , 2008, ERSA.

[11]  P. S. Winokur,et al.  Three-dimensional simulation of charge collection and multiple-bit upset in Si devices , 1994 .

[12]  Hortensia Mecha,et al.  Statistical Anomalies of Bitflips in SRAMs to Discriminate MCUs from SEUs , 2015, 2015 15th European Conference on Radiation and Its Effects on Components and Systems (RADECS).

[13]  B. Narasimham,et al.  Radiation-Induced Soft Error Rates of Advanced CMOS Bulk Devices , 2006, 2006 IEEE International Reliability Physics Symposium Proceedings.

[14]  Michael J. Wirthlin,et al.  Strategies for Removing Common Mode Failures From TMR Designs Deployed on SRAM FPGAs , 2019, IEEE Transactions on Nuclear Science.

[15]  Heather M. Quinn,et al.  A Test Methodology for Determining Space Readiness of Xilinx SRAM-Based FPGA Devices and Designs , 2009, IEEE Transactions on Instrumentation and Measurement.