在分解存储系统中使用本地缓存一致性

Q3 Computer Science
I. Calciu, M. Imran, Ivan Puddu, Sanidhya Kashyap, H. Maruf, O. Mutlu, Aasheesh Kolli
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引用次数: 0

摘要

分解内存为当前的数据中心提供了许多成本节约和资源调配优势,但支持分解内存访问的软件系统会导致高性能损失。这些系统需要对端口应用程序进行侵入性代码更改以获得分解内存,或者采用慢速虚拟内存机制来避免代码更改。当以页面粒度跟踪对缓存数据的更改时,这种机制导致访问远程数据的高开销页面错误和高脏数据放大。在本文中,我们提出了一种用于分解内存系统的全新方法,基于我们可以使用本地缓存一致性在缓存行粒度上透明地跟踪应用程序的内存访问,而不需要更改代码。这个简单的想法(1)在访问远程数据时消除了应用程序关键路径中的页面错误,(2)将应用程序内存访问跟踪与虚拟内存页面大小解耦,从而实现缓存线粒度脏数据跟踪和驱逐。利用这一观察结果,我们为分解内存实现了一个新的软件运行时,它提高了平均内存访问时间,并减少了脏数据放大1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Local Cache Coherence for Disaggregated Memory Systems
Disaggregated memory provides many cost savings and resource provisioning benefits for current datacenters, but software systems enabling disaggregated memory access result in high performance penalties. These systems require intrusive code changes to port applications for disaggregated memory or employ slow virtual memory mechanisms to avoid code changes. Such mechanisms result in high overhead page faults to access remote data and high dirty data amplification when tracking changes to cached data at page-granularity. In this paper, we propose a fundamentally new approach for disaggregated memory systems, based on the observation that we can use local cache coherence to track applications' memory accesses transparently, without code changes, at cache-line granularity. This simple idea (1) eliminates page faults from the application critical path when accessing remote data, and (2) decouples the application memory access tracking from the virtual memory page size, enabling cache-line granularity dirty data tracking and eviction. Using this observation, we implemented a new software runtime for disaggregated memory that improves average memory access time and reduces dirty data amplification1.
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来源期刊
Operating Systems Review (ACM)
Operating Systems Review (ACM) Computer Science-Computer Networks and Communications
CiteScore
2.80
自引率
0.00%
发文量
10
期刊介绍: Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.
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