Berkeley Lab's Breakthroughs in Exascale Supercomputing and AI Energy Efficiency
Explore Berkeley Lab's journey from atomic age to supercomputing forefront. Discover exascale computing challenges, energy efficiency innovations, and future HPC directions with specialized hardware and chiplets.
Reflecting on the 'Why' Behind Supercomputing Simulations - Advancing Science
Explore supercomputing's role in scientific advancement with insights from an expert on simulation applications and exascale computing.
Jack Dongarra's Perspective on the Exascale Computing Project
Explore computing pioneer Jack Dongarra's insights on the Exascale Computing Project's progress, achievements, and future impact on scientific research and high-performance computing.
Accelerating Scientific Discovery with AI and Quantum Computing
Explore cutting-edge insights on distributed computing and AI from IBM's Dario Gil in this Ray Summit 2022 keynote address.
Introduction to the Pawsey Supercomputing Research Centre
Explore Pawsey Supercomputing Research Centre's capabilities and impact on scientific research with Supercomputing Specialist Marco De La Pierre.
Developing Supercomputing Geoscience Applications Using Julia
Explore modular Julia packages for accelerating geocomputing, enabling high-performance stencil codes that scale from laptops to GPU-accelerated supercomputers for geoscience applications.
Workload-Optimized and AI-Powered Infrastructure for Google Cloud
Optimize AI workloads and enterprise applications with purpose-built infrastructure. Learn about supercomputing innovations, TPUs, GPUs, and AI-powered assistance for efficient operations.
Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCF
Explore Argonne's role in advancing high-performance computing, deploying Aurora, and collaborating with ECP to drive scientific breakthroughs and exascale computing.
Exascale Computing Project Successes and Lessons Learned
Explore ECP successes and lessons learned, focusing on integration, as presented by Lori Diachin, project director, to the Industry and Agency Council upon completion of technical work.
Exascale Computing Project Applications: Lessons Learned
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
Exascale Computing Project's Software Technology Accomplishments and Futures - Lecture
Explore Exascale Computing Project's software technology achievements and future directions with Mike Heroux, senior scientist at Sandia National Laboratories.
Rapidly Deploying and Delivering a Sustainable National Exascale AI Research Resource - Isambard-AI Case Study
Explore the rapid deployment and sustainability of Isambard-AI, a national Exascale AI research resource in the UK, including its architecture, applications, and impact on AI research.
Gotta Go Fast: How We Started the Ubuntu High-Performance Computing Team
Explore the formation of Ubuntu's HPC community team, their collaborative efforts in developing Charmed HPC, and strategies for addressing challenges in open-source HPC ecosystem engagement.
Charmed HPC: Your Own Personal Supercomputer Within 15 Minutes
Deploy a personal supercomputer in 15 minutes using Charmed HPC, an open-source infrastructure stack for cloud and on-premises. Explore integrated services, automated lifecycle events, and multi-cloud deployment options.
Productive Performance Engineering for Weather and Climate Modeling with Python
Optimize weather and climate models using Python-embedded DSL and data-centric techniques. Improve productivity and performance through abstraction, semi-automated workflows, and transfer tuning for efficient scaling on supercomputers.
The Role of MPI in Modern AI - Rusty Lusk's Legacy
Explore MPI's crucial role in modern AI and its impact on parallel computing, honoring Rusty Lusk's contributions to the field.
HammingMesh: A Network Topology for Large-Scale Deep Learning
Explore a novel network topology for large-scale deep learning systems, enhancing data movement efficiency and job scheduling flexibility for future AI training infrastructure.
Temporality and Thingness - Towards Manyworlding Futures in Anthropology
Explore how algorithmic environments and technological infrastructures reshape human perception of time, space, and reality through ethnographic research at CERN and other scientific institutions.
Advanced Discussion: Potential Quantum Radiomics ML Workflows
Explore quantum machine learning workflows for medical imaging, focusing on efficient state vector circuits, pure state representations, and exact expectation values. Discover recent advancements in large-scale quantum simulations.
Supercomputing at the Exascale and Beyond: Future Trends and Challenges
Explore exascale computing advancements, best practices, and future trends in high-performance computing. Learn strategies for developing portable, performant code and adapting algorithms for heterogeneous architectures.
EESSI: A Streamed, Production-Quality, Multi-Platform HPC Software Stack
Explore a versatile HPC software stack for scientific computing across platforms. Learn about EESSI's benefits for education, research, and collaborative development in high-performance computing environments.