SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Birds of a Feather Archive

Bridging the HPC/Data Divide


Authors: Timea Biro (CSC – IT Center for Science Ltd, Finland), Christine Kirkpatrick (San Diego Supercomputer Center (SDSC)), Mark Gray (Pawsey Supercomputing Centre; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia), Maciej Cytowski (Pawsey Supercomputing Centre; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia), Marek Michalewicz (Sano Centre for Computational Medicine, Krakow, Poland; National Supercomputing Center (NSCC), Singapore)

Abstract: Scientific advances designed to address global challenges require researchers to have seamless access to data and computing and increasingly high performance computing. A certain disconnect has characterized the relationship between the HPC and data communities and this needs to be addressed in order to fully support today's data and compute intensive science. An open exploration of the sociotechnical and technical differences between the two communities, as well as describing any open challenges towards closer collaboration will be discussed. One BoF outcome is to draw in ‘HPC-oriented’ colleagues who wish to learn more or be more aligned with the data community.

Long Description: Scientific advances designed to address global challenges require researchers to have seamless access to data and computing and increasingly high performance computing. A certain disconnect has characterised the relationship between the HPC and data communities and this needs to be addressed in order to fully support today's data and compute intensive science. An open exploration of the sociotechnical and technical differences between the two communities, as well as describing any open challenges towards closer collaboration will be discussed.

The long term goals of such an effort include: Increasing awareness around high-performance computing to help increase the use of such computing resources and their inclusion in scientific workflows. Advance the development and prototyping HPC based services and tools for the data community to explore and leverage e.g., digital twins. Any disciplinary success stories? Supporting research commons initiatives e.g., European Open Science Cloud in Europe – creating a FAIR web of data and services will depend on researchers to be able to easily find and access the diverse computing resources they need. One hoped for outcome of the BoF is to draw in people bridging this gap in their institutions, as well as ‘HPC-oriented’ colleagues who wish to learn more or be more aligned with the data community. Here, 'data community' refers to colleagues for example who are active in the Research Data Alliance (RDA), the International Science Council’s Committee on Data (ISC/CODATA), or GO FAIR.


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