In the late 1980s, as parallel processing technology was emerging, researchers explored its potential to accelerate complex scientific computations. This book delves into the challenges and solutions of applying parallel processing to adaptive mesh refinement (AMR), a technique used in computational fluid dynamics for simulating phenomena like shock hydrodynamics. The author focuses on the intricacies of parallelizing AMR algorithms, addressing issues such as load balancing and efficient utilization of multiple processors. The book explores various load balancing strategies, including scattered decomposition, self-scheduling, simulated annealing, and binary decomposition, comparing their effectiveness in distributing computational work evenly across processors. The author then details the implementation of parallel AMR on two different multiprocessor architectures of the time: the Cray XMP and the Ultracomputer. The book examines the practical aspects of parallelization, including the use of parallel Fortran constructs and the impact of communication overhead on performance. By presenting a case study of parallelizing a real-world scientific application, this book offers valuable insights into the challenges and opportunities of parallel computing in the context of AMR and its application to solving complex problems in computational physics.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781333484668
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