£115.99

Springer Parallel-in-Time Integration Methods - Volume 356

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Description

Explore the latest advancements in computational mathematics with Parallel-in-Time Integration Methods. This volume contains the complete contributions from the 9th Parallel-in-Time (PinT) workshop held from June 8-12, 2020. As supercomputers increase their microprocessing power, new mathematical algorithms are necessary to fully realize their potential for simulating complex systems. This collection focuses on adapting existing computer models to next-generation machines by adding a new dimension of scalability. By utilizing parallel-in-time methods, researchers can achieve dramatically faster simulations across various critical fields. This includes high-stakes areas such as biomedical modeling, specifically heart modeling, and other complex system simulations. This book serves as an essential resource for those working at the intersection of mathematical analysis and high-performance computing.

Key Features

Includes all research contributions from the 9th Parallel-in-Time (PinT) workshop held in June 2020.

Focuses on methods to adapt computer models for next-generation supercomputers and increased scalability.

Provides mathematical algorithms designed to maximize the potential of advancing microprocessing abilities.

Offers solutions for achieving faster simulations in complex fields like biomedical heart modeling.

Part of the Springer Proceedings in Mathematics and Statistics series, volume 356.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
25 August 2021
Listed Since
09 April 2021

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No barcode data available

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