Overview

The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory has been at the leading edge of HPC architecture and deployment for 45 years. Advances in extreme-scale storage coming from the enterprise and hyperscale industries are finding their way into HPC systems to address challenges stemming from massive datasets and AI-based workloads, but fundamental differences in I/O patterns are leaving gaps. In this talk, we will compare the storage and I/O requirements of large-scale HPC workloads with those of the cloud and show how HPC’s unique requirements have led NERSC to deploy NVMe in the form of burst buffers and all-flash parallel file systems rather than block- and object-based storage. We will then explore how recent technological advances that target enterprise and cloud I/O workloads may also benefit HPC, and we will highlight a few remaining challenge areas in which innovation is required.

About the Speaker

Glenn K. Lockwood is a storage architect for NERSC at Lawrence Berkeley National Laboratory who specializes in holistic I/O performance analysis, extreme-scale storage architectures, and emerging I/O technologies. He heads the I/O performance efforts for the 30 PB all-flash parallel file system being deployed as part of the upcoming Perlmutter system in 2020 and leads the pathfinding efforts in storage and I/O for NERSC’s 2024 exascale system. Glenn is also a maintainer of the industry-standard IOR and mdtest I/O benchmarks and contributes to the Darshan I/O profiling library. Glenn previously worked in the genomics industry and has a formal research background in silica surface chemistry. He holds a Ph.D. in materials science and B.S. in ceramic engineering, both from Rutgers University.