Results 1 – 29 of 29 Advance Computer Architecture: Parallelism, Scalability, Programmability (EDN 3 ) by Kai Hwang And Naresh Jotwani and a great selection. Advanced Computer Architecture, 3e – Ebook written by Kai Hwang, Naresh Jotwani. Read this book using Google Play Books app on your PC, android, iOS . Naresh Jotwani Kai Hwang. Naresh Jotwani Kai Hwang Is the author of books such as Advanced Computer Architecture, 2E.

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It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT SMACT principles and technologiesCovers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programsOffers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologiesFully illustrated throughout with examples, figures and approximately problems to support and reinforce learningFeatures a companion website with an instructor manual and PowerPoint slides www.

Topics covered by this book include: Other topics include the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, vector architectures, multicore processors, and warehouse-scale computers WSCs.


From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing.

The salient features of the book are as follows: A Machine Learning Approach.

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Advanced Computer Architecture

Program and Network Properties — 3. Please choose whether or not you want other users to be able to see on your profile that this jotwaji is a favorite of yours. Processors and Memory Hierarchy — 5. Please enter your name. Would you also like to submit a review for this item?

Naresh Jotwani Kai Hwang

Account Options Sign in. Kai Hwang ; Naresh Jotwani Find more information about: To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet nareshh Things IoT sensing, machine learning, data analytics and Hadoop and Spark programming.

Privacy Policy Terms and Conditions. The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems.

It also highlights the two most important factors in architecture today: You already recently rated this item. Create lists, kotwani and reviews: Part 1 focuses on data science, the roles of clouds and IoT devices jotwan frameworks for big-data computing.


However, formatting rules can vary widely between applications and fields of interest or study. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main aand of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems.

The book will also be very useful maresh a reference for professionals who want to work in cloud computing and data science. Search WorldCat Find items in libraries near you. Similar Items Related Subjects: Linked Data More info about Linked Data.

Advanced Computer Architecture, 2E – Hwang – Google Books

Software for Parallel Programming. All cloud systems are illustrated with big data and cognitive application examples. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications.

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