Strategies for Visualizing Petabyte-Scale Scientific Datasets
Practical strategies for visualizing petabyte scientific data
Global Research Networks: Building Collaborative Environments for e-Science
From Grid to Edge and AI: practical roadmaps for research
Physics at Scale: How Distributed Tech Powers CERN and Beyond
From Grid to Edge: powering CERN’s distributed future
Real-Time e-Science: Processing High-Velocity Research Data Streams
Real-time e-science: engineering research data streams
Data Lake Architecture: Evolving Storage for Distributed Analytics
Evolving data lake architecture from grid to edge AI
HPC for Climate Change: How Global Grids Power Weather Modeling
Grid to cloud, edge and AI powering climate HPC
The e-Science Revolution: How Distributed Labs Solve Global Problems
Distributed labs: evolving grid to cloud, edge, AI
Predicting Hardware Failure: Monitoring Massive AI Training Farms
Monitoring AI training farms to predict hardware failure
Vector Database Architecture for Distributed AI Environments
Architecting vector databases for distributed AI systems
Grid Computing Now: The Roadmap to a Decentralized System
From grid roots to edge and AI: a practical roadmap