Advanced Computational Infrastructures for Parallel and Distributed Applications (Hardcover)

Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems.

The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits.

• Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications

• Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials

• Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems

The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.

這本書獨特地探討了先進計算基礎設施的設計、架構和實現，以及它們所支持的應用程序的狀態。

新興的大規模自適應科學和工程應用程序需要越來越多的計算和存儲資源，以提供對複雜系統的新洞察。由於其運行時自適應性，這些應用程序表現出高度動態、異構和不可預測的複雜行為，因此需要全面的計算基礎設施支持來解決問題、運行時管理和動態分割/平衡。本書從系統架構師、軟件工程師、計算科學家和應用科學家等不同角度，提供了對先進計算基礎設施的設計、架構和實現以及使用這些基礎設施開發和部署的自適應應用程序的全面研究。

通過提供有關最近的研究工作和項目的見解，作者們包括描述和經驗，涉及在並行和分佈式系統上進行自適應應用程序的實際建模。

本書的第一部分聚焦於高性能自適應科學應用程序，包括描述高影響力的現實應用場景，以激發對先進計算引擎的需求，並概述其要求。第二部分確定了受歡迎且廣泛使用的自適應計算基礎設施。第三部分聚焦於這些計算工具包底層的更具體的分割和運行時管理方案。

本書提供了代表性的問題解決環境和基礎設施、運行時管理策略、分割和分解方法以及自適應和動態應用程序的獨特集合。它包括描述和經驗，涉及在並行和分佈式系統上進行自適應應用程序的實際建模。

這本參考書的跨學科方法提供了對先進計算基礎設施的需求、設計挑戰、底層設計理念、架構和實現/部署細節的全面討論。它是高級計算科學和軟件/系統工程高年級本科生和研究生的寶貴資源，也適用於計算和計算機科學家、軟件開發人員和其他行業專業人士。