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The Elements of Computing Systems

The Elements of Computing Systems Author Noam Nisan
ISBN-10 026214087X
Release 2005
Pages 325
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This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.



The Elements of Computing Systems

The Elements of Computing Systems Author Noam Nisan
ISBN-10 0262640686
Release 2008
Pages 325
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This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.



Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems Author Pawel Czarnul
ISBN-10 9781351385794
Release 2018-03-05
Pages 304
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In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs



Principles of Computer System Design

Principles of Computer System Design Author Jerome H. Saltzer
ISBN-10 0080959423
Release 2009-05-21
Pages 560
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Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture. Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs. The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. Features: Concepts of computer system design guided by fundamental principles. Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering. Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS). Numerous pseudocode fragments that provide concrete examples of abstract concepts. Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects.



Programming Distributed Computing Systems

Programming Distributed Computing Systems Author Carlos A. Varela
ISBN-10 9780262313360
Release 2013-05-31
Pages 296
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Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of concurrent computing and then introduces the programming languages that help develop distributed computing systems at a high level of abstraction. The major theories of concurrent computation -- including the p-calculus, the actor model, the join calculus, and mobile ambients -- are explained with a focus on how they help design and reason about distributed and mobile computing systems. The book then presents programming languages that follow the theoretical models already described, including Pict, SALSA, and JoCaml. The parallel structure of the chapters in both part one (theory) and part two (practice) enable the reader not only to compare the different theories but also to see clearly how a programming language supports a theoretical model. The book is unique in bridging the gap between the theory and the practice of programming distributed computing systems. It can be used as a textbook for graduate and advanced undergraduate students in computer science or as a reference for researchers in the area of programming technology for distributed computing. By presenting theory first, the book allows readers to focus on the essential components of concurrency, distribution, and mobility without getting bogged down in syntactic details of specific programming languages. Once the theory is understood, the practical part of implementing a system in an actual programming language becomes much easier.



Self aware Computing Systems

Self aware Computing Systems Author Peter R. Lewis
ISBN-10 9783319396750
Release 2016-07-28
Pages 324
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Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions. This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.



Computer System Design

Computer System Design Author Michael J. Flynn
ISBN-10 1118009916
Release 2011-08-08
Pages 320
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The next generation of computer system designers will be less concerned about details of processors and memories, and more concerned about the elements of a system tailored to particular applications. These designers will have a fundamental knowledge of processors and other elements in the system, but the success of their design will depend on the skills in making system-level tradeoffs that optimize the cost, performance and other attributes to meet application requirements. This book provides a new treatment of computer system design, particularly for System-on-Chip (SOC), which addresses the issues mentioned above. It begins with a global introduction, from the high-level view to the lowest common denominator (the chip itself), then moves on to the three main building blocks of an SOC (processor, memory, and interconnect). Next is an overview of what makes SOC unique (its customization ability and the applications that drive it). The final chapter presents future challenges for system design and SOC possibilities.



The First Computers

The First Computers Author Raúl Rojas
ISBN-10 0262681374
Release 2002
Pages 472
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A history of computing focusing on the actual architectures of the first machines that made electronic computing a practical reality.



Elements of Programming

Elements of Programming Author Alexander A. Stepanov
ISBN-10 9780321635372
Release 2009
Pages 262
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New techniques for building more secure, reliable, high-performance software, from the renowned creator of the C++ STL • • A truly foundational book on the discipline of generic programming: how to write better software by mastering the development of abstract components. • Based on Alexander Stepanov's breakthrough lectures to programmers at Adobe and throughout Silicon Valley. • For serious software developers, architects, and engineers, the perfect complement to Knuth's theory and Stoustrup's practice. Elements of Programming is the next breakthrough book for serious practitioners seeking ways to write better software. In this book, Alexander Stepanov - the legendary architect and creator of the C++ Standard Template Libraries - focuses on the discipline that offers the greatest potential for improving contemporary software: the proper development of abstract components. Drawing on his enormously popular lectures to programmers at Adobe and throughout Silicon Valley, Stepanov illuminates crucial techniques of generic programming, specifically focusing on abstraction as the key to secure, reliable, and high-performance software. Together with co-author and ACM Fellow Paul McJones, Stepanov shows programmers how to use mathematics to compose reliable algorithms from components, and to design effective interfaces between algorithms and data structures. Topics covered in Elements of Programming include: transformations, associative operations, linear orderings, ordered algebraic structures, iterators, coordinates and coordinate structures, copying algorithms, rearrangement, sorting, and much more. This book requires an understanding of mathematics, but is consistently focused on identifying superior solutions to practical programming problems. Stepanov and McJones illuminate their concepts and techniques with C++ code, but the techniques are equally applicable to a wide range of contemporary object-oriented languages.



Exploring the Elements of Design

Exploring the Elements of Design Author Poppy Evans
ISBN-10 9781111645489
Release 2012-03-12
Pages 336
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Designed to prepare students for success in graphic design, the third edition of EXPLORING THE ELEMENTS OF DESIGN has been completely updated to reflect the very latest in graphic design concepts and contemporary design work. With its straightforward approach and dynamic examples, this richly illustrated full-color text offers clear explanations of the fundamental principles, award-winning examples of professional work, and diagrams that clearly show how these principles operate in successful design solutions. Offering a practical and visual introduction to the world of graphic design, this text provides students with detailed coverage of design concepts, including color, imagery, creative thinking, and visual-problem solving, as well as an overview of the field of graphic design and related career options. In addition, the third edition includes all-new material on digital media, interactive design, and typography to ensure that students have all the information needed to work in the ever-changing world of graphic design. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Energy Efficient Distributed Computing Systems

Energy Efficient Distributed Computing Systems Author Albert Y. Zomaya
ISBN-10 9781118342008
Release 2012-07-26
Pages 856
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The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing. Key features: One of the first books of its kind Features latest research findings on emerging topics by well-known scientists Valuable research for grad students, postdocs, and researchers Research will greatly feed into other technologies and application domains



Communication Complexity

Communication Complexity Author Eyal Kushilevitz
ISBN-10 052102983X
Release 2006-11-02
Pages 208
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Many aspects of the internal and external workings of computers can be viewed as a series of communication processes. Communication complexity is the mathematical theory of such communication processes. It is also often used as an abstract model of other aspects of computation. This book surveys this mathematical theory, concentrating on the question of how much communication is necessary for any particular process. The first part of the book is devoted to the simple two-party model introduced by Yao in 1979, which is still the most widely studied model. The second part treats newer models developed to deal with more complicated communication processes. Finally, applications of these models, including computer networks, VLSI circuits, and data structures, are treated in the third part of the book. This is an essential resource for graduate students and researchers in theoretical computer science, circuits, networks and information theory.



Inside the Machine

Inside the Machine Author Jon Stokes
ISBN-10 9781593271046
Release 2007
Pages 320
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Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.



Code

Code Author Charles Petzold
ISBN-10 9780735638723
Release 2000-10-11
Pages 400
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What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.



Digital Computer Design

Digital Computer Design Author Edward L. Braun
ISBN-10 9781483275734
Release 2014-05-12
Pages 620
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Digital Computer Design: Logic, Circuitry, and Synthesis focuses on the logical structure, electronic realization, and application of digital information processors. The manuscript first offers information on numerical symbols, fundamentals of computing aids, quantization, representation of numbers in an electronic digital computer, and computer applications. The text then ponders on the nature of automatic computation and Boolean algebra. Discussions focus on the advantages of a Boolean algebraic description of a digital computer; clock pulse generators and timing circuits; sequential switching networks; elements of information processing systems and types of digital computers; and automatic sequencing methods. The book elaborates on circuit descriptions of switching and storage elements and large capacity storage systems. Topics include static magnetic storage, dynamic delay line storage, cathode-ray storage, vacuum tube systems of circuit logic, and magnetic core systems of circuit logic. The publication also examines the system design of GP computers, digital differential analyzer, and the detection and correction of errors. The text is a valuable source of data for mathematicians and engineers interested in digital computer design.



Architecture of Computing Systems ARCS 2016

Architecture of Computing Systems    ARCS 2016 Author Frank Hannig
ISBN-10 9783319306957
Release 2016-03-24
Pages 402
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This book constitutes the proceedings of the 29th International Conference on Architecture of Computing Systems, ARCS 2016, held in Nuremberg, Germany, in April 2016. The 29 full papers presented in this volume were carefully reviewed and selected from 87 submissions. They were organized in topical sections named: configurable and in-memory accelerators; network-on-chip and secure computing architectures; cache architectures and protocols; mapping of applications on heterogeneous architectures and real-time tasks on multiprocessors; all about time: timing, tracing, and performance modeling; approximate and energy-efficient computing; allocation: from memories to FPGA hardware modules; organic computing systems; and reliability aspects in NoCs, caches, and GPUs.



Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics Author Judith Hurwitz
ISBN-10 9781118896631
Release 2015-02-12
Pages 288
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A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.