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Springer - Task Scheduling for Multi-core Architectures Book

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Description

As the demand for high computational capacity grows, multicore processors have become the standard in both research and real-world applications. This book from Springer addresses a significant gap in current literature by exploring task-scheduling techniques specifically designed for emerging complex parallel architectures. Readers will gain insights into managing heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. By focusing on state-of-the-art solutions, this text provides the necessary knowledge to navigate the challenges of modern parallel computing environments. It serves as a comprehensive resource for understanding how to optimize performance across various advanced computing platforms.

Key Features

Covers task-scheduling techniques for heterogeneous multi-core architectures and emerging parallel systems.

Provides technical perspectives on managing warehouse-scale datacenters and large-scale computing environments.

Explores specialized solutions for distributed big data processing systems to improve efficiency.

Addresses the growing need for high computational capacity in modern research and real-world settings.

Offers a deep look at state-of-the-art scheduling methods for complex parallel architectures.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
11 December 2017
Listed Since
10 July 2017

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No barcode data available

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