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Correction prediction: Reducing error correction latency for on-chip memories

机译:校正预测:减少片上存储器的错误校正等待时间

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The reliability of on-chip memories (e.g., caches) determines their minimum operating voltage (V) and, therefore, the power these memories consume. A strong error correction mechanism can be used to tolerate the increasing memory cell failure rate as supply voltage is reduced. However, strong error correction often incurs a high latency relative to the on-chip memory access time. We propose correction prediction where a fast mechanism predicts the result of strong error correction to hide the long latency of correction. Subsequent pipeline stages execute using the predicted values while the long latency strong error correction attempts to verify the correctness of the predicted values in parallel. We present a simple correction prediction implementation, CP, which uses a fast, but weak error correction mechanism as the correction predictor. Our evaluations for a 32KB 4-way set associative SRAM L1 cache show that the proposed implementation, CP, reduces the average cache access latency by 38%-52% compared to using a strong error correction scheme alone. This reduces the energy of a 2-issue in-order core by 16%-21%.
机译:片上存储器(例如,高速缓存)的可靠性决定了它们的最小工作电压(V),因此决定了这些存储器消耗的功率。当电源电压降低时,强大的纠错机制可用于容忍不断增加的存储单元故障率。但是,相对于片上存储器访问时间,强错误纠正通常会导致高延迟。我们提出了一种校正预测,其中一种快速机制可以预测强错误校正的结果,以掩盖校正的长时延。随后的流水线阶段使用预测值执行,而长时间等待时间强的错误校正则尝试并行验证预测值的正确性。我们提出了一个简单的校正预测实现CP,它使用快速但较弱的错误校正机制作为校正预测器。我们对32KB 4路组关联SRAM L1缓存的评估表明,与仅使用强大的纠错方案相比,建议的实现CP将平均缓存访问延迟降低了38%-52%。这将2个有序堆芯的能量减少了16%-21%。

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