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Hwu Wen-mei W.: Programming Massively
Parallel Processors

Programming Massively Parallel Processors

A Hands-on Approach

Advances in Computers

Quantum Machine Learning (QML): Platform, Tools and Applications: Volume 140

Modernize Legacy Systems and Mitigate Risk

Domain-Driven Transformation

Query complexity addresses issues like the number of calls to a black box routine, the number of queries to a data structure or the number of steps made by a parallel processor. It has immense applications, and not surprisingly a large number of papers ha

Query Complexity

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting, but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to understand coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.

VLSI Modeling, Coding and Verification

Digital Design using VerilogHDL

The Fundamentals of Software-Defined Networking: Towards Intelligent and Flexible Networks is a comprehensive, beginner-friendly guide to Software-Defined Networking (SDN), designed specifically for educators, trainers, and professionals transitioning into modern networking. It offers a structured, standards-based approach that starts with fundamental networking concepts and builds up to advanced SDN architectures. Focusing on accessibility and practical application, it emphasizes open-source tools and real-world labs that can be implemented in low-resource environments. It covers key SDN technologies, including OpenFlow, SD-WAN, SD-LAN, NFV, LISP, and orchestration with Ansible, while integrating Python-based automation and RESTful APIs.Key Features<ul> <li>Progressive, beginner-friendly structure ideal for academic and training settings.</li> <li>Hands-on labs using open-source tools such as ONOS, Ryu, Open vSwitch, and Python, plus real-world case studies and projects.</li> <li>Vendor-neutral content with no reliance on proprietary technologies.</li> <li>Supplementary materials, including scripts and emulator images are available online: www.github.com/sadiqui-ali/SDN_resources </li> </ul>This book is beneficial for instructors, students, and IT professionals seeking a practical and comprehensive introduction to SDN. Moreover, it is particularly suited for training environments where cost-effective, standards-based learning is essential.

Towards Intelligent and Flexible Networks

Fundamentals of Software-Defined Networking

The Fun Palace of Joan Littlewood and Cedric Price as a Cultural Project

Architecture, Media, Archives

Python Automation For Dummies

Foundations, Technologies, and Prospects for the Future

Autonomous Vehicle Safety Solutions

Gender, Race and the Power of Code in a Galaxy Far, Far Away

Decoding Star Wars

Mastering Cloud Computing: Foundations and Applications Programming, Second Edition is designed for readers learning to develop cloud computing applications. Today’s applications don’t live on a single computer but are deployed from and reside on a virtual server, accessible anywhere, any time. Today’s application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. The book covers all you need to develop applications for cloud architectures, including industrial platforms and security considerations. Real-world case studies and examples demonstrate the key concepts, with exercises and labs throughout the book.

Foundations and Applications Programming

Mastering Cloud Computing

Programming Massively Parallel Processors

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