High Performance Computing Courses and Certifications

Stanford Seminar - Beyond Floating Point - Next Generation Computer Arithmetic

Exploring posits as a superior alternative to IEEE 754 floats, offering larger dynamic range, higher accuracy, and simpler implementation for next-generation computer arithmetic.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

Multiscale Dataflow Computing - Competitive Advantage at the Exascale Frontier

Explore multiscale dataflow computing for high-performance, energy-efficient systems. Learn about Maxeler's innovative approach, ecosystem, and applications in various industries.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Practical High-Performance Computing

Master high-performance computing through parallel programming, covering MPI, OpenMP, GPU tools, and practical applications in scientific computing. Learn optimization techniques and implement real-world HPC projects.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

IIT Bombay;  NPTEL

High Performance Scientific Computing

Master high-performance computing fundamentals, parallel programming with OpenMP and MPI, GPU computing, and scientific visualization tools for advanced computational research and simulation applications.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

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

Institute for Pure & Applied Mathematics (IPAM)

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

Institute for Pure & Applied Mathematics (IPAM)

Future Exascale Architectures - IPAM at UCLA

Explore future exascale computing architectures and their applications in materials science, presented by Lawrence Livermore National Laboratory expert Erik Draeger at UCLA's IPAM.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Designing High-Performance Scalable Middleware for HPC, AI, and Data Science in Exascale Systems and Clouds

Explore high-performance middleware design for exascale systems, focusing on MVAPICH2 project's features and performance in HPC, AI, and data science applications across various platforms.

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

Chameleon: Expanding Open-Source Ambari for HPC

Explore HPC-based big data platform management with Chameleon, an extension of Apache Ambari. Learn about Lustre filesystem integration, advanced YARN monitoring, and dynamic dashboards for streamlined operations.

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

State of Art for Enabling Performance Sensitive Workloads and Future Needs

Experts discuss cutting-edge techniques for optimizing performance-sensitive workloads, exploring current challenges and future directions in system optimization and resource management.

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

CNCF [Cloud Native Computing Foundation]

CNCF Research: HPC and HTC End User Landscape - December 2021

Explore HPC/HTC landscape in cloud-native environments, covering solutions, deployments, workload migration, resource management, and tools for high-performance computing.

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

Institute for Pure & Applied Mathematics (IPAM)

HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging - IPAM at UCLA

Explore HPC and AI-enabled real-time coherent X-ray diffraction imaging, revolutionizing materials characterization with advanced light sources, multi-modal techniques, and innovative data processing methodologies.

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

The Julia Programming Language

A Superfacility Model for Data-Intensive Science

Explore data-intensive science challenges, high-performance computing, and the role of programming languages like Julia in addressing big data and computational demands in scientific research.

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

The Royal Institution

Computer Modelling for Molecular Science – With Sir Richard Catlow

Explore how high-performance computer simulations revolutionize scientific understanding, from molecular behavior to planetary-scale hypotheses, with applications in crystallography, materials science, and battery technology.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

USENIX

Building a 5-Exaflop Supercomputer for Meta-AI Research and Large-Scale Model Training

Explore the architecture, construction, and operation of Meta's 5-exaflop AI Research SuperCluster, supporting large-scale model training with insights on monitoring and observability for cutting-edge AI development.

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