Random Number Generators for Ultracomputers (Classic Reprint) - Couverture souple

Percus, Ora E.

9781334538582: Random Number Generators for Ultracomputers (Classic Reprint)

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ISBN 10 : 1334538581 ISBN 13 : 9781334538582

Editeur : Forgotten Books, 2018

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Excerpt from Random Number Generators for Ultracomputers

The new problems posed by parallel computing are the following: for asynchronous and multiprogrammed machines Special care is needed to ensure reproducibility of runs; very long sequences may be necessary; finally, attention to the independence of the para.

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�diteur: Forgotten Books
Date d'�dition: 2018
Langue: anglais
ISBN 10: 1334538581
ISBN 13: 9781334538582
Reliure: Broch�
Nombre de pages: 37
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9781340077747: Random Number Generators for Ultracomputers

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Random Number Generators for Ultracomputers (Classic Reprint)

Ora E. Percus, Malvin H. Kalos

Edit� par Forgotten Books, 2018

ISBN 10 : 1334538581 ISBN 13 : 9781334538582

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Paperback. Etat : New. Print on Demand. This book delves into the intricacies of designing pseudorandom number generators specifically tailored for the unique challenges posed by parallel computing architectures. It addresses the need for reproducibility in Monte Carlo simulations, where the ability to retrace computational steps is crucial for debugging complex programs and ensuring the validity of ported code. The author explores the concept of pseudorandom trees, where multiple independent sequences are generated to support branching processes and load balancing in parallel computations. This approach ensures that simulations remain consistent and efficient, even when processes migrate across processors or the number of available processors fluctuates. Delving into the mathematical foundations of random number generation, the book examines linear congruential generators and their correlation properties. The author introduces a spectral test to assess the uniformity and independence of parallel streams, providing insights into selecting appropriate parameters for these generators. By addressing the challenges of reproducibility, long sequences, and independence in parallel computing environments, this book offers valuable guidance for researchers and practitioners working with Monte Carlo simulations. Its insights contribute to the advancement of reliable and efficient computational methods in various scientific and engineering domains. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N� de r�f. du vendeur 9781334538582_0

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