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Challenges and Solutions in Highly Heterogeneous HPC Workflows
DescriptionThe HPC landscape is larger, more complex, and more interconnected than ever before. With both cloud HPC and quantum computing entering as disruptors, users face many challenges managing software and data. We discuss some solutions with Covalent, a new open-source Pythonic toolkit for reproducible computational research. We demonstrate using practical examples from classical and quantum machine learning how users can rapidly iterate over hardware and software in order to efficiently identify novel research results. We also go into detail to discuss some of the challenges around quantum-classical interconnects and how hybrid quantum algorithms map to hybrid infrastructure.