增量部分重构定时修复连续在线自监测自省电路(COSMIC TRIP)

Hans Giesen, Benjamin Gojman, Raphael Rubin, Ji Kim, A. DeHon
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引用次数: 6

摘要

我们表明,在运行期间连续监测lut到lut链路级别的片上延迟允许FPGA检测并自适应老化和环境对时序的影响。使用轻量级(<;4%的增加面积)机制来监控转换时间,一个带有首次失败锁存器的差分检测器,我们可以估计电路上的时间裕度,并识别已经降级的单个链路,其延迟决定了最坏情况下的电路延迟。结合“选择你自己的冒险”预先计算的、细粒度的修复方案,我们引入了一种快速的、系统内的、定时退化的链路增量修复策略。我们表明,这些技术使我们能够在多伦多20基准测试中在不到300毫秒的时间内响应单个老化事件。结果是朝着在秒级时间尺度上的自适应重构是可行和有益的系统迈出了一步。
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Continuous Online Self-Monitoring Introspection Circuitry for Timing Repair by Incremental Partial-Reconfiguration (COSMIC TRIP)
We show that continuously monitoring on-chip delays at the LUT-to-LUT link level during operation allows an FPGA to detect and self-adapt to aging and environmental effects on timing. Using a lightweight (<;4% added area) mechanism for monitoring transition timing, a Difference Detector with First-Fail Latch, we can estimate the timing margin on circuits and identify the individual links that have degraded and whose delay is determining the worst-case circuit delay. Combined with Choose-Your-own-Adventure precomputed, fine-grained repair alternatives, we introduce a strategy for rapid, in-system incremental repair of links with degraded timing. We show that these techniques allow us to respond to a single aging event in less than 300 ms for the toronto20 benchmarks. The result is a step toward systems where adaptive reconfiguration on the time-scale of seconds is viable and beneficial.
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