Master the basics of fast, scalable parallel computing.
This work introduces a powerful technique called approximate rescheduling that helps parallel algorithms run in logarithmic time. Learn how to design protocols that work even when task execution order is unpredictable, a key challenge in distributed and parallel systems.
This edition focuses on real, practical methods you can apply to classic problems like list ranking and graph algorithms. It explains how to break large tasks into smaller pieces, schedule work efficiently, and achieve optimal time performance on parallel computers. The book builds a foundation you can use to understand advanced results and how they interrelate with scheduling, trees, and connectivity problems in parallel computation."synopsis" may belong to another edition of this title.
Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. In this book, the author delves into the new and innovative field of parallel scheduling. The book is a detailed and technical discussion of how to schedule tasks for multiple processors simultaneously. It provides a theoretical framework for solving a novel scheduling problem, which leads to an optimal logarithmic time parallel algorithm for list ranking. This book is a valuable resource for computer science researchers interested in pursuing parallel scheduling and related topics. 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. Seller Inventory # 9781333043476_0
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781333043476
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781333043476
Quantity: 15 available