ENCCS Event

About the course The End-to-End AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks, walks attendees through the hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behavior of complex systems (physics-informed neural networks – PINNs), […]

About the course Scaling applications to multiple GPUs across multiple nodes requires one to be adept at programming models and optimization techniques, and proficient at performing root-cause analysis using in-depth profiling to identify and minimize bottlenecks. The Multi-GPU Programming Bootcamp covers step-by-step ways to improve application performance using cues from profilers and provides an understanding […]

About the course The Profiling AI Software Bootcamp covers the process and tools needed to profile AI and machine learning applications to fully utilize high-performance systems. Attendees will learn to profile applications using NVIDIA Nsight™ Systems, a system-wide performance analysis tool; analyze and identify optimization opportunities; and improve performance of applications to scale efficiently across […]

About the course Are you writing code for your research? Do you want to make your research results more reproducible Do you struggle to reproduce results of your own or others computations? Join the CodeRefinery workshop on coding tools and techniques. Join the CodeRefinery workshop in September and October!It takes place online on 9 half days (you can pick […]

Overview Welcome to the online workshop on Practical Machine Learning on Sept. 16-18 (2025). Machine learning (ML) is a rapidly growing field within artificial intelligence (AI) that focuses on building systems capable of learning from data. Instead of being explicitly programmed with detailed rules, the ML models identify patterns and make predictions or decisions based […]

About the webinar There is a growing trend of deploying high-performance computing workloads in the cloud, driven in part by significant investments from cloud providers, especially in support of AI and machine learning workloads. However, the tools and software stacks used in traditional on-premise HPC environments often differ from those available in the cloud. This […]

About the webinar This webinar introduces quantum-accelerated supercomputing approaches that combine traditional HPC resources with quantum computing accelerators for materials science applications. We'll demonstrate a workflow for studying example problem from material science using hybrid quantum-classical methods, showing how quantum embedding techniques can enable running parts of the atomistic simulations systems using quantum simulators, which […]