9781334538582 - random number generators for ultracomputers (classic reprint) di percus, ora e. (3 risultati)
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 24,27
Spedizione gratuitaSpedito in U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 24,37
EUR 3,85 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Altre immagini- Brossura
- Print on Demand
Da: Forgotten Books, London, Regno UnitoForgotten Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 15,35
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Paperback. Condizione: 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.
