Reliability Calculation With Respect to Functional Failures Induced by Radiation in TMR Arm Cortex-M0 Soft-Core Embedded Into SRAM-Based FPGA
| Autor: | Adria Barros de Oliveira, Nilberto H. Medina, Fabio Benevenuti, Vitor A. P. Aguiar, M. A. Guazzelli, Fernanda Lima Kastensmidt, Nemitala Added, Luis A. C. Benites |
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| Rok vydání: | 2019 |
| Předmět: |
Triple modular redundancy
Nuclear and High Energy Physics 010308 nuclear & particles physics Computer science business.industry Memory scrubbing Hardware_PERFORMANCEANDRELIABILITY Fault injection 01 natural sciences Nuclear Energy and Engineering Gate array Embedded system 0103 physical sciences Netlist Redundancy (engineering) Static random-access memory Hardware_ARITHMETICANDLOGICSTRUCTURES Electrical and Electronic Engineering business Field-programmable gate array |
| Zdroj: | IEEE Transactions on Nuclear Science. 66:1433-1440 |
| ISSN: | 1558-1578 0018-9499 |
| DOI: | 10.1109/tns.2019.2921796 |
| Popis: | This paper presents comparative results from fault injection (FI) and heavy ions accelerated irradiation on a Xilinx 7 series static RAM (SRAM)-based field-programmable gate array (FPGA) for a soft-core microprocessor mitigated by triple modular redundancy (TMR) with different levels of granularity. The Arm Cortex-M0 soft-core processor executing two software applications is employed as a case study. The TMR implementation is automatically generated from synthesized netlist and includes coarse and fine grain variants. Apart from the TMR mitigation, the configuration memory scrubbing is used as implemented by the engine natively available on Xilinx 7 series FPGAs. Experiments with FI and heavy ions allow analyzing the effectiveness of the automated TMR mitigation combined with memory scrubbing and also to analyze the consistency of reliability metrics from FI and heavy ions. The dynamic cross section of the design was improved up to 4.5 times according to the implemented TMR granularity and when associated with the configuration memory scrubbing. |
| Databáze: | OpenAIRE |
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