Ahmad Maroof Karimi HPC Operational Data Scientist Contact KARIMIAHMAD@ORNL.GOV All Publications Lustre Unveiled: Evolution, Design, Advancements, and Current Trends Discovering Power Patterns in Time varying HPC Workloads with Matrix Profile: A Clustering Approach... Exploring the Frontiers of Energy Efficiency using Power Management at System Scale Towards Sustainable Post-Exascale Leadership Computing Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU Parallel Navigating Exascale Operational Data Analytics: From Inundation to Insight Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics and AI Methods at Scale Group
