AI Supercomputing for Efficient Scientific Discovery

Monday, May 13, 2024 6:20 PM to 6:40 PM · 20 min. (Europe/Berlin)

Hall H, Booth L01

HPC Solutions Forum

Extreme-scale SystemsHeterogeneous System ArchitecturesHPC Simulations enhanced by Machine LearningSustainability and Energy Efficiency

Information

Accelerated computing is creating new opportunities for scientific discovery. The convergence of architectures for HPC simulation and AI drives new levels of computational capability and energy efficiency. This talk will explore the technology innovations targeted at tackling the world's most challenging computational problems.

HPC Solutions Forum Questions

Are technologies and configurations for AI and HPC converging or diverging? Is it possible to serve both adequately and efficiently in the same environment?What can be done to make HPC and AI more efficient?Which is more important – improvements in existing software and workloads, or a wholesale transformation to something new?

Format

On-site

NVIDIASince its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

Speakers

Dan Ernst

Director of Supercomputing System TechnologyNvidia

Registered attendees

Achim Basermann

Department HeadGerman Aerospace Center (DLR)

Alan More

Managing Director, AI & HPCMicrosoft

Christopher Darke

Research Computing Support TechnicianUniversity of Cambridge