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Guidelines for Practicing Responsible Innovation in HPC: A Sociotechnical Approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Raybourn, Elaine M.; Muollo, Killian

While significant investments have been made in the exploration of ethics in computation, recent advances in high performance computing (HPC) and artificial intelligence (AI) have reignited a discussion for more responsible and ethical computing with respect to the design and development of pervasive sociotechnical systems within the context of existing and evolving societal norms and cultures. The ubiquity of HPC in everyday life presents complex sociotechnical challenges for all who seek to practice responsible computing and ethical technological innovation. The present paper provides guidelines which scientists, researchers, educators, and practitioners alike, can employ to become more aware of one’s personal values system that may unconsciously shape one’s approach to computation and ethics.

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Enabling Catalyst Adoption in SPARC

Proceedings of ISAV 2022: IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis

Weirs, V.G.; Raybourn, Elaine M.; Milewicz, Reed M.; Muollo, Killian; Mauldin, Jeffrey A.; Otahal, Thomas J.

This paper reports on Catalyst usability and initial adoption by SPARC analysts. The use case approach highlights the analysts' perspective. Impediments to adoption can be due to deficiencies in software capabilities, or analysts may identify mundane inconveniences and barriers that prevent them from fully leveraging Catalyst. With that said, for many analyst tasks Catalyst provides enough relative advantage that they have begun applying it in their production work, and they recognize the potential for it to solve problems they currently struggle with. The findings in this report include specific issues and minor bugs in ParaView Python scripting, which are viewed as having straightforward solutions, as well as a broader adoption analysis.

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4 Results
4 Results