A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability
Computing in Science & Engineering(2023)
摘要
Computational and data-enabled science and engineering are revolutionizing
advances throughout science and society, at all scales of computing. For
example, teams in the U.S. DOE Exascale Computing Project have been tackling
new frontiers in modeling, simulation, and analysis by exploiting unprecedented
exascale computing capabilities-building an advanced software ecosystem that
supports next-generation applications and addresses disruptive changes in
computer architectures. However, concerns are growing about the productivity of
the developers of scientific software, its sustainability, and the
trustworthiness of the results that it produces. Members of the IDEAS project
serve as catalysts to address these challenges through fostering software
communities, incubating and curating methodologies and resources, and
disseminating knowledge to advance developer productivity and software
sustainability. This paper discusses how these synergistic activities are
advancing scientific discovery-mitigating technical risks by building a firmer
foundation for reproducible, sustainable science at all scales of computing,
from laptops to clusters to exascale and beyond.
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