Workshops Archive

Invited Talk: How Complex AI Workflows Are Driving the Future of HPC Architectures?

Workshop: 1st International Symposium on Artificial Intelligence and Extreme-Scale Workflows

Authors: Debbie Bard (National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory (LBNL))

Abstract: One of the biggest challenges in scientific supercomputing today is the increasing complexity of workflows, driven by the rapid increase in AI adoption in all aspects of scientific computing. These place new demands on traditional HPC infrastructure, which now need to support workflows combining data preparation and movement, AI model training and inference, analysis and large-scale simulations. In this talk, I will describe the complex AI HPC workflows that are driving the design of Doudna, NERSC’s next supercomputer, and the design of a broader architecture across DOE to support an Integrated Research Infrastructure (IRI). Through case studies and real-life challenges, I will describe how AI-driven requirements translate to technical innovations for Doudna and IRI

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