PageCmp:通过内存中页面比较的带宽高效页面重复数据删除

Mehrnoosh Raoufi, Quan Deng, Youtao Zhang, Jun Yang
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引用次数: 4

摘要

基于ksm的页面重复删除是一项重要的Linux系统服务,用于减少云服务器上的主内存消耗。然而,它往往会导致大量的计算和内存带宽开销。最近提出的硬件辅助KSM方法虽然有效地解决了计算开销,但仍然需要消耗大量的片外内存带宽。在本文中,我们提出了PageCmp,一种基于PIM(内存中处理)的页面重复数据删除方法,以实现云服务器上的带宽效率。PageCmp利用DRAM单元阵列内部的位操作能力来实现快速的页面比较。通过在DRAM模块的输出缓冲区中集成一个轻量级的本地比较器,PageCmp只将页面比较结果发送回处理器。我们的实验结果表明,与最先进的技术相比,PageCmp实现了4倍的内存带宽减少,同时引入的硬件开销不到1%。
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PageCmp: Bandwidth Efficient Page Deduplication through In-memory Page Comparison
KSM-based page deduplication is an important Linux system service for reducing main memory consumption on cloud servers. However, it tends to incur large computation and memory bandwidth overheads. Recently proposed hardware-assisted KSM approaches, while effectively addressing the computation overhead, still need to consume a dramatic amount of off-chip memory bandwidth. In this paper, we propose PageCmp, a PIM (Processing-In-Memory) based page deduplication approach, to achieve bandwidth efficiency on cloud servers. PageCmp exploits the bitwise operation capability inside the DRAM cell array to enable fast page comparison. By integrating a lightweight local comparator inside the output buffer of DRAM modules, PageCmp sends only the page comparison result back to the processor. Our experimental results show that, comparing to the state-of-the-art, PageCmp achieves 4x memory bandwidth reduction while introducing less than 1% hardware overhead.
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