In-memory computing is gaining popularity as a means of sidestepping the performance bottlenecks of block storage operations. However, the volatile nature of DRAM makes these systems vulnerable to system crashes, while the need to continuously refresh massive amounts of passive memoryresident data increases power consumption. Emerging storage-class memory (SCM) technologies combine fast DRAM-like cache-line access granularity with the persistence of storage devices like disks or SSDs, resulting in potential 10x-100x performance gains, and low passive power consumption. This unification of storage and memory into a single directly-accessible persistent tier raises significant reliability and pro-grammability challenges. In this paper, we present SoftWrAP, an open-source framework for Software based Write-Aside Persistence. SoftWrAP provides lightweight atomicity and durability for SCM storage transactions, while ensuring fast paths to data in processor caches, DRAM, and persistent memory tiers. We use our framework to evaluate both handcrafted SCM-based microbenchmarks as well as existing applications, specifically the STX B+Tree library and SQLite database, backed by emulated SCM. Our results show significant benefits of SoftWrAP over existing methods such as undo logging and shadow copying, and can match non-atomic durable writes to SCM, thereby gaining atomic consistency almost for free.
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机译：内存计算是越来越受欢迎，作为隐藏块存储操作的性能瓶颈的手段。然而，DRAM的挥发性使得这些系统容易受到系统崩溃的影响，而不断刷新大量的被动存储器数据的需要增加功耗。新兴存储级存储器（SCM）技术与磁盘或SSD等存储设备的持久性相结合了快速的DRAM - 类似的缓存线路访问粒度，从而导致潜在的10x-100x性能增益和低无源功耗。将存储和内存的统一统一到单一的直接访问持久性层提高了显着的可靠性和促进性挑战。在本文中，我们呈现SofterWrap，是基于软件的写入持久性的开源框架。 SoftWrap为SCM存储交易提供轻量级的原子性和耐用性，同时确保处理器缓存，DRAM和持久存储器层中的数据的快速路径。我们使用我们的框架来评估由仿真SCM支持的STX B +树库和SQLite数据库的现有应用程序以及现有的SCM的微稳态。我们的结果表明Softwrap对现有方法的显着优势，如撤消日志记录和影子复制，并且可以将非原子耐用写入SCM匹配，从而距离原子一致性几乎免费。
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