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Heterogeneous Integration of Precise and Approximate Storage for Error-TolerantWorkloads

机译:用于容错工作负载的精确和近似存储的异构集成

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摘要

This study proposes a heterogeneous integration of preciseand approximate storage in data center storage. The storage controlengine allocates precise and error-tolerant applications to precise and approximatestorage, respectively. The appropriate use of both precise andapproximate storage is examined by applying a non-volatile memory capacityalgorithm. To respond to the changes in application over time,the non-volatile memory capacity algorithm changes capacity of storageclass memories (SCMs), namely the memory-type SCM (M-SCM) andstorage-type SCM (S-SCM), in non-volatile memory resource. A threedimensionaltriple-level cell (TLC) NAND flash is used as a large capacitymemory. The results indicate that precise storage exhibits a high performancewhen the maximum storage cost is high. By contrast, with a lowmaximum storage cost, approximate storage exhibits high performance usinga low bit cost approximate multiple-level cell (MLC) S-SCM.
机译:本研究提出了数据中心存储中精确存储和近似存储的异构集成。存储控制引擎将精确和容错应用程序分别分配给精确和近似存储。通过应用非易失性存储器容量算法,检查精确存储器和近似存储器的适当使用。为了响应应用随时间的变化,非易失性存储器容量算法在非易失性存储器资源中改变存储类存储器(SCM)的容量,即存储器类型SCM(M-SCM)和存储类型SCM(S-SCM)。三维三层单元 (TLC) NAND 闪存用作大容量存储器。结果表明,当最大存储成本较高时,精确存储表现出较高的性能。相比之下,由于最大存储成本较低,近似存储使用低位成本近似多级单元 (MLC) S-SCM 表现出高性能。

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