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IPF: In-Place X-Filling Algorithm for the Reliability of Modern FPGAs

机译:IPF:用于现代FPGA可靠性的就地X填充算法

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Modern SRAM-based field-programmable gate arrays (FPGAs) are prone to single event upsets compared to application-specific integrated circuits. We propose a synthesis-based in-place x-filling algorithm by utilizing don't cares to augment the reliability of FPGA-based designs. Compared to circuit- and architecture-based solutions, our algorithm is in place, and does not incur area, power, performance, and design time overheads. Compared to other synthesis-based algorithms, we take into account widely accepted interconnect architecture. For the 10 largest combinational MCNC benchmark circuits mapped to 6-LUT architecture, our approach achieves up to 37% greater failure rate reduction, and up to $7times$ runtime speedup, compared to the best known synthesis-based in-place algorithm, namely the in-place decomposition algorithm.
机译:与专用集成电路相比,基于SRAM的现代现场可编程门阵列(FPGA)容易发生单事件。通过利用无关性来提高基于FPGA的设计的可靠性,我们提出了一种基于合成的就地x填充算法。与基于电路和架构的解决方案相比,我们的算法已就位,并且不会产生面积,功耗,性能和设计时间开销。与其他基于综合的算法相比,我们考虑了广泛接受的互连体系结构。对于映射到6-LUT架构的10个最大的组合式MCNC标杆电路,我们的方法可将故障率降低多达37%,并且最多达到 $ 7×$ 运行时加速。

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