Enabling CXL Memory Expansion for In-Memory Database Management Systems Article Swipe

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Computer science Bottleneck Online analytical processing Throughput Memory management Online transaction processing Memory map In-Memory Processing Database Operating system Semiconductor memory Embedded system Database transaction Transaction processing Search engine Information retrieval Data warehouse Wireless Web search query Query by Example

Minseon Ahn , Andrew Chang , Donghun Lee , Jongmin Gim , Jungmin Kim , Jaemin Jung , Oliver Rebholz , Vincent T. Pham , Krishna T. Malladi , Yang Seok Ki ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1145/3533737.3535090 · OA: W4282555269

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.