Institute for Pure & Applied Mathematics (IPAM) Courses

Quantum Algorithms for Dynamics Simulation - Differential Equations - IPAM at UCLA

Explore quantum algorithms for simulating dynamics and solving differential equations, focusing on mathematical and computational challenges in quantum computing.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Classical ML for Quantum Problems - IPAM at UCLA

Explore classical machine learning applications in quantum computing, focusing on solving quantum problems and advancing quantum technologies.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Learning Theory in the Quantum Universe - IPAM at UCLA

Explore quantum learning theory with Google Quantum AI expert Hsin-Yuan Huang. Discover mathematical challenges and computational advancements in quantum computing through this insightful presentation.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Introduction to Containers on Perlmutter - IPAM at UCLA

Explore containerization on Perlmutter supercomputer, focusing on implementation, benefits, and practical applications in high-performance computing environments.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Visualization and Analysis of HPC Simulation Data with VisIt

Explore HPC simulation data visualization using VisIt software, focusing on techniques for analyzing large-scale scientific datasets in high-performance computing environments.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Packaging Scientific Software with Conda-Forge - IPAM at UCLA

Explore scientific software packaging using Conda-Forge with Jan Janssen from Los Alamos National Laboratory, focusing on co-design for exascale computing and hackathon applications.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Autonomous Discovery for Separation Sciences - IPAM at UCLA

Explore innovative approaches to accelerate f-element separation science design using data science and automation techniques, addressing challenges in rare earth and actinide separation for clean energy and nuclear fuel applications.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

AI-Driven Workflows for the Discovery of Novel Superconductors

Explore AI-driven methods for discovering novel superconductors, including data augmentation, ultra-fast machine-learning potentials, and symbolic regression to improve predictive equations for superconducting transition temperatures.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Flux - A Next Generation Resource Manager for HPC and Beyond - IPAM at UCLA

Explore Flux, a next-gen resource manager for HPC, offering advanced scheduling, standardized interfaces, and nested instance capabilities for improved scientific workflows.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Adaptive Computing and Multi-Fidelity Learning - IPAM at UCLA

Explore adaptive computing and multi-fidelity learning for efficient optimization and uncertainty quantification in complex scientific workflows, with applications and scaling challenges discussed.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

ExaFEL - Achieving Real-Time XFEL Data Analysis Using Exascale Hardware

Explore real-time data analysis for X-ray Free Electron Laser experiments using high-performance computing, focusing on challenges, workflow design, and performance insights for future scientific applications.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Scaling NumPy Applications from 1 CPU to Thousands of GPUs - IPAM at UCLA

Discover cuNumeric: a NumPy replacement enabling Python applications to scale across multiple nodes and leverage GPU acceleration for enhanced performance and dataset handling.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Transparent, Reproducible, and Adaptable Data Analysis with Snakemake

Explore Snakemake for sustainable data analysis, enabling transparency, reproducibility, and adaptability in scientific workflows and computational research.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

X-Ray Micro-Tomography at the Advanced Light Source and NERSC Superfacility

Explore X-ray micro-tomography at ALS and NERSC's "superfacility," enabling 3D micron-resolution imaging for diverse scientific applications, from earth science to biology, with advanced data processing workflows.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Machine Learning for Atomic-Scale Modeling - Potentials and Beyond - IPAM at UCLA

Explore machine learning techniques for atomic-scale modeling, addressing challenges in chemical diversity and integrating functional properties beyond interatomic potentials for advanced materials simulation.

• YouTube
• 51 minutes
• Self-Paced
• Free Video