为内存数据库管理系统启用CXL内存扩展

Minseon Ahn, Andrew Chang, Donghun Lee, J. Gim, Jungmin Kim, Jaemin Jung, Oliver Rebholz, Vincent Pham, Krishna T. Malladi, Y. Ki
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引用次数: 12

摘要

随着内存数据库管理系统(IMDBMS)的数据量不断增加,有限的内存容量一直是其性能瓶颈。为了克服物理内存的限制,提出了异构和分解计算平台,如Gen-Z、CCIX、OpenCAPI和CXL。在这项工作中,我们使用CXL类型3原型引入了灵活的CXL内存扩展,并评估了其在IMDBMS中的性能。我们的评估表明,与PCIe Gen5接口的CXL内存设备适合于内存扩展,在OLTP工作负载中几乎没有吞吐量下降,在OLAP工作负载中吞吐量下降不到8%。因此,CXL内存是imdbms中具有较低TCO的内存扩展的理想选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling CXL Memory Expansion for In-Memory Database Management Systems
Limited memory volume is always a performance bottleneck in an in-memory database management system (IMDBMS) as the data size keeps increasing. To overcome the physical memory limitation, heterogeneous and disaggregated computing platforms are proposed, such as Gen-Z, CCIX, OpenCAPI, and CXL. In this work, we introduce flexible CXL memory expansion using a CXL type 3 prototype and evaluate its performance in an IMDBMS. Our evaluation shows that CXL memory devices interfaced with PCIe Gen5 are appropriate for memory expansion with nearly no throughput degradation in OLTP workloads and less than 8% throughput degradation in OLAP workloads. Thus, CXL memory is a good candidate for memory expansion with lower TCO in IMDBMSs.
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