Institute for Pure & Applied Mathematics (IPAM) Courses

More is Different - Non-Scalability of Approximation in Modeling Noncovalent Interaction

3 reviews

Exploring the limitations of common approximations in modeling non-covalent interactions at the nanoscale, revealing complex scaling behaviors and the need for advanced quantum-mechanical methods.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Quantum Walk, Efficient Implementation, and Potential Application - IPAM at UCLA

1 review

Explore quantum walk algorithms, efficient implementations, and potential applications in scientific computation with insights on quantum circuit design for various graph types.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Neural Cross-Frequency Coupling - Delta-Alpha, Resting State, Anesthesia, Sleep

1 review

Explore neural cross-frequency coupling functions, focusing on delta-alpha interactions in resting state, anesthesia, and sleep. Discover how Bayesian inference reveals functional mechanisms of brainwave oscillations.

• YouTube
• 44 minutes
• On-Demand
• Free Video

A SNAPshot of Profiler Guided Optimization - IPAM at UCLA

Explore profiler-guided optimization techniques for enhancing software performance, with insights from NVIDIA expert Evan Weinberg at IPAM's Exascale Co-design workshop.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Optimizing GPU Performance - Case Study Using Chain Benchmark in LAMMPS

Explore GPU performance optimization techniques using the Chain Benchmark in LAMMPS, presented by Stan Moore from Sandia National Laboratories at IPAM's workshop on Exascale Co-design.

• YouTube
• 44 minutes
• On-Demand
• Free Video

The State of Neural Network Interatomic Potentials - IPAM at UCLA

Explore neural network interatomic potentials in atomistic simulations, their advantages over traditional methods, and challenges in widespread adoption across research domains.

• YouTube
• 41 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Catalysis - Automated Multiscale Modeling and Active Exploration of Chemical Space

Revolutionizing catalysis through automated multiscale modeling and active exploration of chemical space, accelerating material discovery and optimizing processes from first principles to reactor scale.

• YouTube
• 40 minutes
• On-Demand
• Free Video