Contributor

James (Jim) Brandt is a Senior Scientist at Sandia National Laboratories. Jim’s research interest for the past two decades has been in holistic data-driven analysis of HPC eco-system resource utilization and state. He leads the development effort for Sandia’s Lightweight Distributed Metric Service (LDMS) which has been in production use for a decade and installed on large-scale systems across the DOE and NSF. Jim also leads SNL’s AppSysFusion project, which enables run time combined application+system monitoring, through the interoperability of LDMS with other tools including Kokkos, Darshan, and Caliper. Jim leads work in the area of application of AI/ML to modeling and optimization of application resource utilization and anomaly detection. Jim has a M.S. degree in Computer Engineering from Santa Clara University and a B.S in Physics from California State University Hayward.