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One of the first textbooks on the topic, this book brings together and further articulates the fundamental concepts in parallel computing. It covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis. Based on a lecture course at the University of Cambridge, the text will appeal to those with an interest in the design and implementations of algorithms in parallel computing.
This text investigates the fundamental principles and practical applications of parallel algorithms within the context of numerical linear algebra. Dr. Jagdish J. Modi, drawing from his lecture course at the University of Cambridge, provides a structured framework for designing and analyzing algorithms suitable for high-performance computing environments. The book synthesizes theoretical concepts with industrial and academic research requirements to address the complexities of parallel processing.
What You Will Find
Experts recognize this work as a foundational textbook that bridges the gap between theoretical mathematics and computational implementation. Readers frequently note the academic density of the prose, which is well-suited for students and researchers in applied mathematics and computer science.
Page Count:
272
Publication Date:
1989-01-12
Publisher:
Oxford University Press
ISBN-10:
0198596707
ISBN-13:
9780198596707
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