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Workshop: Second International Symposium on Quantitative Codesign of Supercomputers
Extreme Scale Computing
HPC Community Collaboration
Machine Learning and Artificial Intelligence
Resource Management and Scheduling
DescriptionThis symposium aims at combining two methodologies—collaborative codesign and data-driven analysis—to realize the potential of supercomputing more fully. The rapidly evolving nature of HPC and its importance to scientific discovery make it an excellent candidate for both codesign processes and data-driven approaches. By zeroing in on these two proven methodologies with the broad-community attention of an SC22 audience, we will address a host of identified challenges impacting HPC. Our scope includes applications, system software, workflows, and health of hardware. Without a clear and standard set of best practices in place, we have many missed opportunities. This symposium will bring together leaders in the field to review current efforts across centers and discuss areas that show potential. This year’s focus will be the software environment of HPC systems: how can we combine codesign methodologies with data-driven analysis to realize the full potential of system software, middleware, and tools?