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Springer Performance Evaluation, Prediction and Visualization of Parallel Systems

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Description

Performance Evaluation, Prediction and Visualization of Parallel Systems is a comprehensive academic text that examines theoretics, methods, techniques and tools for assessing parallel computing architectures. This volume, part of The International Series on Asian Studies in Computer and Information Science, begins with an overview of performance degradation in parallel systems and establishes the importance of rigorous evaluation methodologies. The work then analyses serial and parallel runtime concepts, identifies weaknesses in traditional parallel speedup metrics, and provides systematic frameworks for understanding system behaviour. Designed for researchers, academics and professionals in computer science and microprocessor architecture, this Springer publication delivers in-depth exploration of performance measurement and prediction techniques essential for optimising parallel computing environments.

Key Features

Springer publication offering comprehensive coverage of performance evaluation, prediction and visualization methodologies for parallel systems.

Systematic discussion of theoretics, methods and techniques relevant to parallel computing architecture and microprocessor systems.

Analysis of serial and parallel runtime concepts with critical examination of parallel speedup metrics and their limitations.

Part of The International Series on Asian Studies in Computer and Information Science, providing academically rigorous content for computing professionals.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 October 2012
Listed Since
14 July 2013

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