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Overhead and reliability analysis of algorithm-based fault tolerance in FPGA systems

机译:FPGA系统中基于算法的容错能力的开销和可靠性分析

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Commercial SRAM-based, field-programmable gate arrays (FPGAs) have the capability to provide space applications with the necessary performance, energy-efficiency, and adaptability to meet next-generation mission requirements. However, mitigating an FPGA's susceptibility to radiation-induced faults is challenging. Triple-modular redundancy (TMR) techniques are traditionally used to mitigate radiation effects, but TMR incurs substantial overheads such as increased area and power requirements. In order to reduce these overheads while still providing sufficient radiation mitigation, we propose the use of algorithm-based fault tolerance (ABFT). We investigate the effectiveness of hardware-based ABFT logic in COTS FPGAs by developing multiple ABFT-enabled matrix multiplication designs, carefully analyzing resource usage and reliability tradeoffs, and proposing design modifications for higher reliability. We perform fault-injection testing on a Xilinx Virtex-5 platform to validate these ABFT designs, measure design vulnerability, and compare ABFT effectiveness to other fault-tolerance methods. Our hybrid ABFT design reduces total design vulnerability by 99% while only incurring 25% overhead over a baseline, non-protected design.
机译:基于商用SRAM的现场可编程门阵列(FPGA)能够为太空应用提供必要的性能,能效和适应性,以满足下一代任务要求。但是,减轻FPGA对辐射引起的故障的敏感性是具有挑战性的。传统上使用三模冗余(TMR)技术来减轻辐射影响,但是TMR会产生大量开销,例如面积和功率需求增加。为了减少这些开销,同时仍然提供足够的辐射缓解,我们建议使用基于算法的容错(ABFT)。我们通过开发多个支持ABFT的矩阵乘法设计,仔细分析资源使用情况和可靠性折衷以及提出设计修改以提高可靠性,来研究COTS FPGA中基于硬件的ABFT逻辑的有效性。我们在Xilinx Virtex-5平台上执行故障注入测试,以验证这些ABFT设计,测量设计漏洞并将ABFT有效性与其他容错方法进行比较。我们的混合式ABFT设计将总体设计漏洞降低了99%,而与非受保护的基线设计相比,仅产生了25%的开销。

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