Paper Title: Using PM & Software Defined Architectures to Optimize AI/ML Workloads

Paper Abstract: Data is being generated in larger volumes and faster rates, causing congestion, I/O bottlenecks, storage outages and cost overruns for high-performance workloads. As data-intensive workloads scale, it’s critical to implement memory-centric architecture to meet the demands of large data sets. Persistent memory promises an immediate and tangible solution for machine-generated data. Persistent memory combined with DRAM and the right software defined architecture becomes a new memory tier that provides a larger and more persistent memory capacity that renders the storage tier obsolete. This session will educate the Flash and AI/ML communities on the properties of persistent memory and will foster a discussion on the adoption of persistent memory based solutions for I/O intensive workloads like AI, ML and analytics.

Paper Author: Kevin Tubbs, Sr Vice President, Strategic Solutions, Penguin Computing

Author Bio: Kevin Tubbs, Ph.D., is Senior Vice President, Strategic Solutions Group for Penguin Computing. Kevin has over fifteen years of High-Performance Computing (HPC) experience in various areas, ranging from software development and application performance optimization to hardware and systems-level deployment and management. Kevin has ten years of experience in GPGPU and accelerator programming and heterogeneous computing solution design. Kevin also has expertise in computational fluid dynamics, computational science, numerical modeling and engineering simulation focused on HPC, AI, and heterogeneous computing implementations. Prior to joining Penguin Computing, Kevin serviced as an HPC consultant and performance engineer for a variety of organizations including Dell, Inc., High-Performance Technologies, Inc., the Naval Research Laboratory (NRL), and the Center for Computation and Technology (CCT) at Louisiana State University (LSU). His clients and customers have included, multiple fortune 500 companies, research universities, and government organizations. Kevin’s current focus is providing end-to-end technology solutions.