L. Mármol, M. Chowdhury, R. Rangaswami
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引用次数: 8

摘要

持久内存设备提供的属性与构建应用程序所用的先前技术唯一不同。不幸的是,构建应用程序的传统方法既不能有效地利用这些新设备,也不能为程序员提供无缝的开发体验。我们已经构建了LibPM,一个持久内存库,它实现了一个易于使用的容器抽象,用于消费PM。LibPM的容器是数据托管单元,可以存储任意复杂的数据类型,同时保持其完整性和一致性。因此,LibPM的容器为应用程序提供了一个通用接口,允许应用程序存储和操作具有强持久性和一致性属性的任意结构化数据,而无需直接导航编程PM的所有无数陷阱。通过提供简单而高性能的事务性更新机制,LibPM允许应用程序以内存的速度操作持久数据。LibPM中的容器抽象和自动持久数据发现机制也简化了将遗留应用程序移植到PM的过程。从性能的角度来看,LibPM的性能与最先进的PM应用程序库非常接近,甚至经常超过它们。例如,与最先进的Pmem相比,LibPM在写密集型工作负载方面的性能提高了195倍,在读密集型工作负载方面的性能提高了2.6倍。IO持久内存库。
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LibPM
Persistent Memory devices present properties that are uniquely different from prior technologies for which applications have been built. Unfortunately, the conventional approach to building applications fail to either efficiently utilize these new devices or provide programmers a seamless development experience. We have built LibPM, a Persistent Memory Library that implements an easy-to-use container abstraction for consuming PM. LibPM’s containers are data hosting units that can store arbitrarily complex data types while preserving their integrity and consistency. Consequently, LibPM’s containers provide a generic interface to applications, allowing applications to store and manipulate arbitrarily structured data with strong durability and consistency properties, all without having to navigate all the myriad pitfalls of programming PM directly. By providing a simple and high-performing transactional update mechanism, LibPM allows applications to manipulate persistent data at the speed of memory. The container abstraction and automatic persistent data discovery mechanisms within LibPM also simplify porting legacy applications to PM. From a performance perspective, LibPM closely matches and often exceeds the performance of state-of-the-art application libraries for PM. For instance, LibPM ’s performance is 195× better for write intensive workloads and 2.6× better for read intensive workloads when compared with the state-of-the-art Pmem.IO persistent memory library.
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