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Titlebook: Topics in Parallel and Distributed Computing; Enhancing the Underg Sushil K. Prasad,Anshul Gupta,Charles Weems Textbook 2018 Springer Inter

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書(shū)目名稱Topics in Parallel and Distributed Computing
副標(biāo)題Enhancing the Underg
編輯Sushil K. Prasad,Anshul Gupta,Charles Weems
視頻videohttp://file.papertrans.cn/927/926268/926268.mp4
概述Effectively translates guidelines into curriculum.Introduces the inclusion of Parallel and Distributed Computing (PDC) topics into undergraduate courses.Offers additional learning and exercises for st
圖書(shū)封面Titlebook: Topics in Parallel and Distributed Computing; Enhancing the Underg Sushil K. Prasad,Anshul Gupta,Charles Weems Textbook 2018 Springer Inter
描述.This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for parallel algorithms and programs, scalability, parallel performance, fault tolerance, and energy efficiency analysis. The chapters designed for students serve as supplemental textual material for early computing core courses, which students can use for learning and exercises. The illustrations, examples, and sequences of smaller steps to build larger concepts are also tools that could be inserted into existing instructor material. The chapters intended for instructors are written at a teaching level and serve as a rigorous reference to include learning goals, advice on presentation and use of the?material, within early and advanced undergraduate courses.? ..Since Parallel and Distributed Computin
出版日期Textbook 2018
關(guān)鍵詞Parallel Computing; Distributed Computing; CS2013 ACM/IEEE Computer Science Curricula; Computer Science
版次1
doihttps://doi.org/10.1007/978-3-319-93109-8
isbn_softcover978-3-030-06591-1
isbn_ebook978-3-319-93109-8
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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uate courses.Offers additional learning and exercises for st.This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GP
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,Editors’ Introduction and Roadmap,omputer science (CS) and computer engineering (CE) undergraduate student should achieve a basic skill level in parallel and distributed computing (PDC). This book is a companion to our 2015 book, the first product of the CDER Book Project.
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What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation? the same time, the efficient usage of all the opportunities offered by modern computing systems represents a global challenge. Using full potential of parallel computing systems and distributed computing resources requires new knowledge, skills and abilities, where one of the main roles belongs to
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Modules for Teaching Parallel Performance Conceptsparallel computing. In the ACM/IEEE curricular guidelines (ACM2013), an entire knowledge unit has been devoted to parallel performance. In addition, performance topics pervade every knowledge area within PDC and can be found across other knowledge areas including Algorithms, Architecture and Systems
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Energy Efficiency Issues in Computing Systems at a basic level, i.e., definitions of terms and basic concepts (K and C Bloom levels), so that the students get a broad overview of the entire field as it applies from very low hardware level up to software and service level issues. Energy management in parallel and distributed systems are also co
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