非易失性存储器的持久性编程模型

H. Boehm, Dhruva R. Chakrabarti
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引用次数: 47

摘要

预计DRAM存储器将得到增强,并可能最终被几种新兴的存储器技术之一所取代。这些都是非易失性的,因为它们在没有电力的情况下保留了它们的内容物。这允许将主内存用作快速磁盘替代品。它还支持更积极的编程模型,直接利用主内存的持久性。然而,在这样的环境中保持内存的一致性是一项挑战。对于这样做的正确编程模型没有一致的意见,细微的差异可能会对实现及其性能产生巨大的、有时甚至令人惊讶的影响。现有文献描述了为用户数据结构的选择性持久性提供点解决方案的多种编程系统。在这一领域的真正进步需要选择编程模型,如果没有对设计空间的真正理解,我们就无法合理地做出选择。点解是不够的。我们系统地探索我们认为最有前途的部分,精确地定义语义并确定实现成本。这使我们能够更加明确和精确地处理语义和实现折衷,而这些折衷通常在以前的工作中被掩盖了。它还揭示了一些有前途的新设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Persistence programming models for non-volatile memory
It is expected that DRAM memory will be augmented, and perhaps eventually replaced, by one of several up-and-coming memory technologies. These are all non-volatile, in that they retain their contents without power. This allows primary memory to be used as a fast disk replacement. It also enables more aggressive programming models that directly leverage persistence of primary memory. However, it is challenging to maintain consistency of memory in such an environment. There is no consensus on the right programming model for doing so, and subtle differences can have large, and sometimes surprising, effects on the implementation and its performance. The existing literature describes multiple programming systems that provide point solutions to the selective persistence for user data structures. Real progress in this area requires a choice of programming model, which we cannot reasonably make without a real understanding of the design space. Point solutions are insufficient. We systematically explore what we consider to be the most promising part of the space, precisely defining semantics and identifying implementation costs. This allows us to be much more explicit and precise about semantic and implementation trade-offs that were usually glossed over in prior work. It also exposes some promising new design alternatives.
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