Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory

Kai Wu, Yingchao Huang, Dong Li
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引用次数: 79

Abstract

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory system (HMS). As a result, data objects of the application must be carefully placed to NVM and DRAM for best performance. In this paper, we introduce a lightweight runtime solution that automatically and transparently manage data placement on HMS without the requirement of hardware modifications and disruptive change to applications. Leveraging online profiling and performance models, the runtime characterizes memory access patterns associated with data objects, and minimizes unnecessary data movement. Our runtime solution effectively bridges the performance gap between NVM and DRAM. We demonstrate that using NVM to replace the majority of DRAM can be a feasible solution for future HPC systems with the assistance of a software-based data management.
基于非易失性内存的异构主存的运行时数据管理
非易失性内存(Non-volatile memory, NVM)提供了一种可扩展且节能的解决方案,可以替代DRAM作为主存。然而,由于NVM具有较高的延迟和较低的带宽,因此NVM通常与DRAM配对构建异构存储系统(HMS)。因此,应用程序的数据对象必须小心地放在NVM和DRAM中,以获得最佳性能。在本文中,我们介绍了一个轻量级的运行时解决方案,它可以自动透明地管理HMS上的数据放置,而无需修改硬件和对应用程序进行破坏性更改。利用在线分析和性能模型,运行时描述与数据对象相关的内存访问模式,并最大限度地减少不必要的数据移动。我们的运行时解决方案有效地弥合了NVM和DRAM之间的性能差距。我们证明,在基于软件的数据管理的帮助下,使用NVM取代大部分DRAM可以成为未来HPC系统的可行解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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