Tools and Environments for Parallel and Distributed Systems
“Tools and Environments for Parallel and Distributed Systems” by Amr Zaky, published by Springer US on October 12, 2012, is a softcover reprint of the original 1st edition from 1996, comprising 305 pages. This book addresses the complexities involved in developing correct and efficient software for parallel and distributed systems, highlighting the challenges posed by the absence of a universally accepted programming paradigm and the necessity for high performance.
Readers will find a detailed exploration of various tools and environments designed to tackle these challenges, including mainstream program development tools, performance prediction tools, and debugging resources. The book also discusses ongoing research in the field, making it suitable as a secondary text for graduate-level courses in software engineering and parallel and distributed systems. Additionally, it serves as a valuable reference for researchers and practitioners in the information technology and computer architecture domains.
Official synopsis Publisher
Developing correct and efficient software is far more complex for parallel and distributed systems than it is for sequential processors. Some of the reasons for this added complexity are: the lack of a universally acceptable parallel and distributed programming paradigm, the criticality of achieving high performance, and the difficulty of writing correct parallel and distributed programs. These factors collectively influence the current status of parallel and distributed software development tools efforts.
Tools and Environments for Parallel and Distributed Systems addresses the above issues by describing working tools and environments, and gives a solid overview of some of the fundamental research being done worldwide. Topics covered in this collection are: mainstream program development tools, performance prediction tools and studies; debugging tools and research; and nontraditional tools.
Audience: Suitable as a secondary text for graduate level courses in software engineering and parallel and distributed systems, and as a reference for researchers and practitioners in industry.
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