百亿亿次计算中存储器可靠性的系统含义

Sheng Li, Ke Chen, Ming-yu Hsieh, Naveen Muralimanohar, C. Kersey, J. Brockman, Arun Rodrigues, N. Jouppi
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引用次数: 53

摘要

弹性将是未来百亿亿级系统面临的最严峻挑战之一。内存错误占所有硬件相关故障的40%以上,预计在未来的百亿亿级系统中还会增加。纠错码(ECC)和检查点是两种有效的容错方法。虽然有许多关于ECC或检查点的单独研究,但这是第一篇研究两者对整体系统性能和功耗的综合影响的论文。具体来说,我们研究了各种ECC方案(SECDED, BCH和chip-kill)与检查点对未来e级系统的影响。我们的模拟结果表明,虽然芯片kill在计算密集型应用中优于13%,但对于内存密集型应用,BCH在系统能量延迟产品(EDP)方面具有28%的优势。我们还建议在带有商品dram的标记存储系统中使用BCH,因为芯片杀伤是不切实际的。我们提出的体系结构实现了比最先进的标记存储器系统高2.3倍的系统EDP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System implications of memory reliability in exascale computing
Resiliency will be one of the toughest challenges in future exascale systems. Memory errors contribute more than 40% of the total hardware-related failures and are projected to increase in future exascale systems. The use of error correction codes (ECC) and checkpointing are two effective approaches to fault tolerance. While there are numerous studies on ECC or checkpointing in isolation, this is the first paper to investigate the combined effect of both on overall system performance and power. Specifically, we study the impact of various ECC schemes (SECDED, BCH, and chip-kill) in conjunction with checkpointing on future exascale systems. Our simulation results show that while chipkill is 13% better for computation-intensive applications, BCH has a 28% advantage in system energy-delay product (EDP) for memory-intensive applications. We also propose to use BCH in tagged memory systems with commodity DRAMs where chipkill is impractical. Our proposed architecture achieves 2.3× better system EDP than state-of-the-art tagged memory systems.
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