Persistent memory devices offer a dual use technology that can either extend DRAM capacity by offering lower cost load/store access or as persistent storage devices accessible via the memory bus. As NVMe devices have proven, attaining promised performance for persistent memory devices for storage purposes requires special care. Out of the box library and solutions lack proper tuning leaving at least 50% of the potential performance behind. This talk explores some of the special potential for PMEM devices and shows how to effectively use them for high performance storage.

Jay Lofstead is a Principal Member of Technical Staff at Sandia National Laboratories. His research interests focus around large scale data management and trusting scientific computing. In particular, he works on storage, IO, metadata, workflows, reproducibility, software engineering, machine learning, and operating system-level support for any of these topics. Dr. Lofstead received his Ph.D. in Computer Science from the Georgia Institute of Technology in 2010.

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