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EduHPC23 – Invited Talk by Kathy Yelick: Educating Post Exascale HPC Leaders
DescriptionThe first generation of exascale computing systems is coming online along with new application capabilities and system software. At the same time, demands for high performance computing continue to grow for more powerful simulations, adoption of machine learning methods, and huge data analysis problems arising from new instruments and increasingly ubiquitous devices. In its broadest sense, computational science research is expanding beyond physical and life sciences into social sciences, public policy, and even the humanities.
Concurrent with these trends, chip technology is facing scaling limits, making it increasingly difficult to meet these new demands. Disruptions in the computing marketplace, which include supply chain limitations, a shrinking set of system integrators, and the growing influence of cloud providers are changing underlying assumptions about how to acquire and deploy future supercomputers. At the same time, there are discussions around the role of AI/ML and quantum computing.
How do we educate students for a post-exascale world? A finite set of computational motifs represent much of the parallel computing workload in modeling and simulation. Should the HPC community focus on those or should they be expanded to include data analytics and machine learning approaches? Finally, what are the workforce needs for the future of high end computing?
Concurrent with these trends, chip technology is facing scaling limits, making it increasingly difficult to meet these new demands. Disruptions in the computing marketplace, which include supply chain limitations, a shrinking set of system integrators, and the growing influence of cloud providers are changing underlying assumptions about how to acquire and deploy future supercomputers. At the same time, there are discussions around the role of AI/ML and quantum computing.
How do we educate students for a post-exascale world? A finite set of computational motifs represent much of the parallel computing workload in modeling and simulation. Should the HPC community focus on those or should they be expanded to include data analytics and machine learning approaches? Finally, what are the workforce needs for the future of high end computing?
Event Type
Workshop
TimeMonday, 13 November 20231:35pm - 2:15pm MST
Location506
Education
State of the Practice
W