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Parallel-in-Time Integration Methods - 9th Parallel-in-Time Workshop, June 8-12, 2020 (Hardcover, 1st ed. 2021)
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Parallel-in-Time Integration Methods - 9th Parallel-in-Time Workshop, June 8-12, 2020 (Hardcover, 1st ed. 2021)
Series: Springer Proceedings in Mathematics & Statistics, 356
Expected to ship within 12 - 17 working days
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This volume includes contributions from the 9th Parallel-in-Time
(PinT) workshop, an annual gathering devoted to the field of
time-parallel methods, aiming to adapt existing computer models to
next-generation machines by adding a new dimension of scalability.
As the latest supercomputers advance in microprocessing ability,
they require new mathematical algorithms in order to fully realize
their potential for complex systems. The use of parallel-in-time
methods will provide dramatically faster simulations in many
important areas, including biomedical (e.g., heart modeling),
computational fluid dynamics (e.g., aerodynamics and weather
prediction), and machine learning applications. Computational and
applied mathematics is crucial to this progress, as it requires
advanced methodologies from the theory of partial differential
equations in a functional analytic setting, numerical
discretization and integration, convergence analyses of iterative
methods, and the development and implementation of new parallel
algorithms. Therefore, the workshop seeks to bring together an
interdisciplinary group of experts across these fields to
disseminate cutting-edge research and facilitate discussions on
parallel time integration methods.
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