Intel Database Reference Stack 1.0 Shows How To Optimize For Optane DC Persistent Memory
Written by Michael Larabel in Intel on 23 September 2019 at 01:03 PM EDT. Add A Comment
INTEL --
Similar to their Deep Learning Reference Stack for delivering better AI / deep learning performance on Xeon Scalable CPUs, Intel has now released the Database Reference Stack 1.0 for optimizing performance on their DC Persistent Memory.

Intel's Database Reference Stack 1.0 is another initiative under their Clear Linux umbrella for demonstrating a database setup that is optimized for their Optane DC Persistent Memory hardware in conjunction with 2nd Gen Xeon Scalable (Cascadelake) CPUs.



This early release of their Database Reference Stack runs atop Clear Linux while tailoring Apache Cassandra and Redis for running off these persistent memory modules. This stack also pulls in Kubernetes for orchestration/management, Kata Containers, and makes use of the Intel Persistent Memory Development Kit (PMDK) and Low-Level Persistence Library. Both FSDAX and DEVDAX persistent memory modes are supported by this stack.

Compared to running Apache Cassandra off enterprise NVMe SSDs, moving to Intel Optane DC Persistent Memory in the app direct mode can yield throughput improvements as much as 6.5~8.6x faster with the Database Reference Stack. But the benefits of the Database Reference Stack 1.0 is obviously much less compared to a conventional software stack more simply deployed on the DCPMM.

Those wanting to learn more about Intel's Database Reference Stack 1.0 release can do so at ClearLinux.org.

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Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 10,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter or contacted via MichaelLarabel.com.

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