This book presents new deterministic parallel algorithms for list ranking a problem commonly encountered when designing parallel algorithms. The bulk of the work on the subject to date has developed deterministic algorithms based on either linear-time serial algorithms, or O(log n) time parallel algorithms using n processors. This book makes significant headway, presenting new algorithms that achieve optimal speed-up for various processor configurations. The author provides a new deterministic coin tossing technique for breaking symmetric situations in a random-like fashion. This technique is applied to the list-ranking problem to devise an O(log n time algorithm using n/(log n) processors. Additionally, this book presents algorithms that achieve optimal speed-up for all practical purposes, as well as an algorithm that uses n processors to achieve a runtime of O(log n) time, disproving a longstanding conjecture in the field. The author's insights into deterministic parallel algorithms and their applications to the list-ranking problem are significant, and this book will be of great interest to researchers and practitioners working in parallel computing and algorithm design.
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Anbieter: Forgotten Books, London, Vereinigtes Königreich
Paperback. Zustand: New. Print on Demand. This book presents new deterministic parallel algorithms for list rankingâ"a problem commonly encountered when designing parallel algorithms. The bulk of the work on the subject to date has developed deterministic algorithms based on either linear-time serial algorithms, or O(log n) time parallel algorithms using n processors. This book makes significant headway, presenting new algorithms that achieve optimal speed-up for various processor configurations. The author provides a new deterministic coin tossing technique for breaking symmetric situations in a ârandom-likeâ fashion. This technique is applied to the list-ranking problem to devise an O(log n time algorithm using n/(log n) processors. Additionally, this book presents algorithms that achieve optimal speed-up for all practical purposes, as well as an algorithm that uses n processors to achieve a runtime of O(log n) time, disproving a longstanding conjecture in the field. The author's insights into deterministic parallel algorithms and their applications to the list-ranking problem are significant, and this book will be of great interest to researchers and practitioners working in parallel computing and algorithm design. 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. Bestandsnummer des Verkäufers 9781332871223_0
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Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781332871223
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781332871223
Anzahl: 15 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 28 pages. 9.21x5.83x0.24 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers 1332871224
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