Recent HPC Training Events
| Category | Title | Format |
|---|---|---|
| Computational Experts | Materials Science Applications on NVIDIA GPUs | Recording and Presentation |
| Computational Experts | Using Spack on DSRC Systems | Recording and Presentation |
| Computational Experts | Mesh Generation, Optimization and Control Using ANSYS | Recording and Presentation |
| High Performance Data Analytics | Nvidia AI for Distributed Deep Learning (Multi-GPU/Node) Bootcamp | Recording and Presentation |
| High Performance Analytics | Using Machine Learning at Scale in HPC Simulations with SmartSim | Recording and Presentation |
| High Performance Data Analytics | Embedding TensorFlow Models in C/C++ Programs | Recording and Presentation |
| High Performance Data Analytics | Nvidia AI for Science Bootcamp | Recording and Presentation |
| High Performance Data Analytics | TensorFlow Extended (TFX) for End-to-End Production Machine Learning on HPC | Recording and Presentation |
| HPCMP-wide Training | Optimizing HPC Selection To Your Application | Recording and Presentation |
| Category | Title | Format |
|---|---|---|
| Programming Environments | 2D and 3D Visualization with Python | Recording and Presentation |
| Programming Environments | Deploying Python on DSRC Systems | Recording and Presentation |
| Computational Experts | Machine Learning for Multi-Scale Modeling in Chemistry Materials Simulations | Recording and Presentation |
| Computational Experts | Introduction to CUBIT Geometry and Meshing | Recording and Presentation |
| Computational Experts | Introduction to Evolutionary Parameter Optimization with MOES | Recording and Presentation |
| HPCMP-wide Training | Debugging and Optimizing Parallel Codes with Arm Forge (MAP and DDT) | Recording and Presentation |
| HPCMP-wide Training | Advanced Git - Version Control on DSRC Systems | Recording and Presentation |
| HPCMP-wide Training | PBS Queue System | Recording and Presentation |
| HPCMP-wide Training | HPCMP GitLab | Recording and Presentation |
| HPCMP-wide Training | HPC in the Cloud Brown Bag | Recording and Presentation |
| HPCMP-wide Training | HPCMP Storage Optimization | Recording and Presentation |
| HPCMP-wide Training | HPCMP Storage and File Use | Recording and Presentation |
| HPCMP-wide Training | Git for HPCMP: Version Control on DSRC Systems | Recording and Presentation |
| HPCMP-wide Training | Linux Command Line Tips, Tricks, and Tools for Efficient Use of HPC Systems | Recording and Presentation |
| Programming Environments | Julia Programming + MPI | Recording and Presentation |
| Programming Environments | Plotting Geospatial Data with Cartopy | Recording and Presentation |
| Programming Environments | F2Py -An interface between Fortran and Python | Recording and Presentation |
| Programming Environments | Developing GPU-accelerated applications with the Nvidia HPC SDK | Recording and Presentation |
| Programming Environments | Analyzing GPU-accelerated applications in C, C++, and Fortran with the Nvidia HPC SDK | Recording and Presentation |
| Programming Environments. | LLVM Compiler Infrastructure, Flang and You | Recording and Presentation |
| Data & Decision Analytics | TensorFlow Model Garden | Recording and Presentation |
| Data & Decision Analysis | Scalable Machine Learning in Python with Dask | Recording and Presentation |
| Data & Decision Analysis | Cross-ISA container building and HPC runtime virtualization via Quick Emulator (QEMU) | Recording and Presentation |
| Data & Decision Analysis | SyncVis - A Multi-view Visualization Application | Recording and Presentation |
| Data & Decision Analytics | Deploying Machine Learning Applications on Supercomputing Outpost (SCOUT) | Recording and Presentation |
| Data & Decision Analytics | Introduction to iLauncher Script Writing | Recording and Presentation |
| Data & Decision Analytics | AI / ML with NEC Vector Engine | Recording |
| Data & Decision Analytics | Building Singularity Containers for DoD Resources | Recording and Presentation |
| Data Analytics/Physics-Informed ML | Physics-Informed Machine Learning with NVIDIA SimNet | Recording and Presentation |
| Data & Decision Analytics | Intermediate Pandas Data Analysis Library for Python | Recording and Presentation |
| Data & Decision Analytics | MPI4Py: Parallel Programming in Python | Recording and Presentation |
| Category | Title | Format |
|---|---|---|
| Computational Fluid Dynamics | Athena-RFX Particle Deposition and CharLES Uncertainty Quantification | Recording and Presentation |
| Computational Fluid Dynamics | Lattice-Boltzmann Method for CFD | Recording |
| Computational Experts | Survey of Ways to Connect to HPC Systems | Recording and Presentation |
| Computational Experts | Hybrid Functional-Density Functional-Theory Calculations using Quantum Expresso | Recording and Presentation |
| Data Analytics/Physics-Informed ML | Physics-Informed Machine Learning (6-week course) | Recording and Presentation |
| Data Analytics/Physics-Informed ML | Multi-paradigm Data-driven Turbulence Modeling with Artificial Networks | Recording |
| Data & Decision Analytics | PyPy - An Alternative High Performance Python Interpreter | Recording and Presentation |
| Data & Decision Analytics | Integrating Deep Learning in Domain Science at Exascale (MAGMA DNN) | Recording and Presentation |
| Data & Decision Analytics | Run Python at the Speed of C - Introduction to Cython | Recording and Presentation |
| Data & Decision Analytics | Introduction to Dask: Scalable Analytics in Python | Recording and Presentation |
| Data & Decision Analytics | Introduction to Numba: A Just-in-Time Compiler for Python | Recording and Presentation |
| Data & Decision Analytics | Advanced Topics in Numerical Python (NumPY) for Data Science | Recording and Presentation |
| Data & Decision Analytics | Image Detection using Deep Learning Frameworks | Recording and Presentation |
| Data & Decision Analytics | Image Analysis with Scikit-image and Ndimage (2-week workshop) | Recording and Presentation |
| Programming Environments | Bourne-Again Shell (BASH) Scripting for High Performance Computing | Recording and Presentation |
| Programming Environments | Introduction to Pandas Data Analysis Library for Python - Part 1 | Recording and Presentation |
| Programming Environments | Introduction to Pandas Data Analysis Library for Python - Part 2 | Recording and Presentation |
| Programming Environments | Introduction to NumPY - Numerical Arrays in Python | Recording and Presentation |
| Programming Environments | Introduction to Julia Programming for High Performance Computing | Recording and Presentation |
| Programming Environments | Introduction to Parallel Computing using MPI and OpenMP | Recording and Presentation |
| High Performance Data Analytics Seminar Series | ||
| Introduction | Introduction to High Performance Data Analytics (HPDA) | Recording and Presentation |
| Introduction | Preparing for HPC Driven Data Analytics | Recording and Presentation |
| Introduction | Data Analytics Quick Start with iLauncher | Recording and Presentation |
| Deep Learning | Distributed Deep Learning (DDL) | Recording and Presentation |
| Deep Learning | Deep Reinforcement Learning (DRL) | Recording and Presentation |
| Deep Learning | Designing Efficient Deep Learning Systems | Recording and Presentation |
| Containers | Singularity Development Tips | Recording and Presentation |
| Containers | Building a Custom Data Analytics Container for Deep Learning | Recording and Presentation |
| Containers | PET Singularity Development Practices | Recording and Presentation |
| Advanced Topic | iBench: A Distributed Inference Benchmark for HPC | Recording and Presentation |
| Advanced Topic | Physics-Informed Machine Learning --Part 1 | Recording and Presentation |
| Advanced Topic | Physics-Informed Machine Learning --Part 2 | Recording and Presentation |