Author

Dr. J. Austin Ellis is an APU application architect at AMD and lead on-site staff at Lawrence Livermore National Laboratory helping to deploy AMDʼs next exascale system, El Capitan, powered by AMD Instinct MI300A APUs. He specializes in HPC, machine learning, GPU computing, scalable algorithms, and data analytics. Previously, he was an HPC research scientist within the Analytics and AI Methods at Scale group within the Oak Ridge Leadership Computing Facility (OLCF). He co-authored the SC21 Best Paper, “Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer” which examined 1Hz telemetry data collected from OLCFʼs Summit machine for the year of 2020. He was also part of the OLCF HPL-MxP benchmark team, which currently holds the #1 ranking at 7.942 Ex2Ops (FP16) on the Frontier Exascale machine. For that effort the team received the 2022 ORNL Director's Award for Outstanding Team Accomplishment & ORNL Award for Distinguished Innovation.