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| computer system architecture mit: The LOCUS Distributed System Architecture Gerald Popek, Bruce J. Walker, 1985 Computer Systems Organization -- Computer-Communication Networks. |
| computer system architecture mit: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2005 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. |
| computer system architecture mit: Architects of the Information Society Simson Garfinkel, 1999 The Massachusetts Institute of Technology's Laboratory for Computer Science (LCS) hasbeen responsible for some of the most significant technological achievements of the past fewdecades. Much of the hardware and software driving the information revolution has been, andcontinues to be, created at LCS. Anyone who sends and receives email, communicates with colleaguesthrough a LAN, surfs the Web, or makes decisions using a spreadsheet is benefiting from thecreativity of LCS members.LCS is an interdepartmental laboratory that brings together faculty,researchers, and students in a broad program of study, research, and experimentation. Theirprincipal goal is to pursue innovations in information technology that will improve people's lives.LCS members have been instrumental in the development of ARPAnet, the Internet, the Web, Ethernet,time-shared computers, UNIX, RSA encryption, the X Windows system, NuBus, and many othertechnologies.This book, published in celebration of LCS's thirty-fifth anniversary, chronicles itshistory, achievements, and continued importance to computer science. The essays are complemented byhistorical photographs. |
| computer system architecture mit: The Organization of Reduction, Data Flow, and Control Flow Systems Werner Kluge, 1992 In light of research over the last decade on new ways of representing and performing computations, this book provides a timely reexamination of computer organization and computer architecture. It systematically investigates the basic organizational concepts of reduction, data flow, and control flow (or state transition) and their relationship to the underlying programming paradigms. For each of these concepts, Kluge looks at how princip1es of language organization translate into architectures and how architectural features translate into concrete system implementations, comparing them in order to identify their similarities and differences. The focus is primarily on a functional programming paradigm based on a full-fledged operational &-calculus and on its realization by various reduction systems. Kluge first presents a brief outline of the overall configuration of a computing system and of an operating system kernel, introduce elements of the theory of Petrinets as modeling tools for nonsequential systems and processes, and use a simple form of higher-order Petri nets to identify by means of examples the operational and control disciplines that govern the organization of reduction, data flow, and control flow computations. He then introduces the notions of abstract algorithms and of reductions and includes an overview of the theory of the &-calculus. The next five chapters describe the various computing engines that realize the reduction semantics of a full-fledged &-calculus. The remaining chapters provide self-contained investigations of the G-machine, SKI combinator reduction, and the data flow approach for implementing the functional programming paradigm. This is followed by a detailed description of a typical control flow (or von Neumann) machine architecture (a VAX11 system). Properties of these machines are summarized in the concluding chapter, which classifies them according to the semantic models they support. |
| computer system architecture mit: Computer Organization and Design RISC-V Edition David A. Patterson, John L. Hennessy, 2017-04-13 The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. |
| computer system architecture mit: Architectural Robotics Keith Evan Green, 2016-02-10 How a built environment that is robotic and interactive becomes an apt home to our restless, dynamic, and increasingly digital society. The relationship of humans to computers can no longer be represented as one person in a chair and one computer on a desk. Today computing finds its way into our pockets, our cars, our appliances; it is ubiquitous—an inescapable part of our everyday lives. Computing is even expanding beyond our devices; sensors, microcontrollers, and actuators are increasingly embedded into the built environment. In Architectural Robotics, Keith Evan Green looks toward the next frontier in computing: interactive, partly intelligent, meticulously designed physical environments. Green examines how these “architectural robotic” systems will support and augment us at work, school, and home, as we roam, interconnect, and age. Green tells the stories of three projects from his research lab that exemplify the reconfigurable, distributed, and transfigurable environments of architectural robotics. The Animated Work Environment is a robotic work environment of shape-shifting physical space that responds dynamically to the working life of the people within it; home+ is a suite of networked, distributed “robotic furnishings” integrated into existing domestic and healthcare environments; and LIT ROOM offers a simulated environment in which the physical space of a room merges with the imaginary space of a book, becoming “a portal to elsewhere.” How far beyond workstations, furniture, and rooms can the environments of architectural robotics stretch? Green imagines scaled-up neighborhoods, villages, and metropolises composed of physical bits, digital bytes, living things, and their hybrids. Not global but local, architectural robotics grounds computing in a capacious cyber-physical home. |
| computer system architecture mit: Essentials of Computer Organization and Architecture Linda Null, Julia Lobur, 2014-02-17 In its fourth edition, this book focuses on real-world examples and practical applications and encourages students to develop a big-picture understanding of how essential organization and architecture concepts are applied in the computing world. In addition to direct correlation with the ACM/IEEE CS2013 guidelines for computer organization and architecture, the text exposes readers to the inner workings of a modern digital computer through an integrated presentation of fundamental concepts and principles. It includes the most up-to-the-minute data and resources available and reflects current technologies, including tablets and cloud computing. All-new exercises, expanded discussions, and feature boxes in every chapter implement even more real-world applications and current data, and many chapters include all-new examples. -- |
| computer system architecture mit: Parallel and High Performance Computing Robert Robey, Yuliana Zamora, 2021-08-24 Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code |
| computer system architecture mit: Advances in Computer Systems Architecture Pen-Chung Yew, Jingling Xue, 2004-09-14 This book constitutes the refereed proceedings of the 9th Asia-Pacific Computer Systems Architecture Conference, ACSAC 2004, held in Beijing, China in September 2004. The 45 revised full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topical sections on cache and memory, reconfigurable and embedded architectures, processor architecture and design, power and energy management, compiler and operating systems issues, application-specific systems, interconnection networks, prediction techniques, parallel architectures and programming, microarchitecture design and evaluation, memory and I/O systems, and others. |
| computer system architecture mit: Computer Systems Architecture Aharon Yadin, 2016-08-19 Computer Systems Architecture provides IT professionals and students with the necessary understanding of computer hardware. It addresses the ongoing issues related to computer hardware and discusses the solutions supplied by the industry. The book describes trends in computing solutions that led to the current available infrastructures, tracing the initial need for computers to recent concepts such as the Internet of Things. It covers computers’ data representation, explains how computer architecture and its underlying meaning changed over the years, and examines the implementations and performance enhancements of the central processing unit (CPU). It then discusses the organization, hierarchy, and performance considerations of computer memory as applied by the operating system and illustrates how cache memory significantly improves performance. The author proceeds to explore the bus system, algorithms for ensuring data integrity, input and output (I/O) components, methods for performing I/O, various aspects relevant to software engineering, and nonvolatile storage devices, such as hard drives and technologies for enhancing performance and reliability. He also describes virtualization and cloud computing and the emergence of software-based systems’ architectures. Accessible to software engineers and developers as well as students in IT disciplines, this book enhances readers’ understanding of the hardware infrastructure used in software engineering projects. It enables readers to better optimize system usage by focusing on the principles used in hardware systems design and the methods for enhancing performance. |
| computer system architecture mit: Embedded Computer Systems: Architectures, Modeling, and Simulation Timo D. H?m?l?inen, Andy D. Pimentel, Jarmo Takala, Stamatis Vassiliadis, 2005-07-04 This book constitutes the refereed proceedings of the 5th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2005, held in Samos, Greece in July 2005. The 49 revised full papers presented were thoroughly reviewed and selected from 114 submissions. The papers are organized in topical sections on reconfigurable system design and implementations, processor architectures, design and simulation, architectures and implementations, system level design, and modeling and simulation. |
| computer system architecture mit: The Soar Cognitive Architecture John E. Laird, 2019-08-20 The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements. |
| computer system architecture mit: Computer Architecture and Security Shuangbao Paul Wang, Robert S. Ledley, 2013-01-10 The first book to introduce computer architecture for security and provide the tools to implement secure computer systems This book provides the fundamentals of computer architecture for security. It covers a wide range of computer hardware, system software and data concepts from a security perspective. It is essential for computer science and security professionals to understand both hardware and software security solutions to survive in the workplace. Examination of memory, CPU architecture and system implementation Discussion of computer buses and a dual-port bus interface Examples cover a board spectrum of hardware and software systems Design and implementation of a patent-pending secure computer system Includes the latest patent-pending technologies in architecture security Placement of computers in a security fulfilled network environment Co-authored by the inventor of the modern Computed Tomography (CT) scanner Provides website for lecture notes, security tools and latest updates |
| computer system architecture mit: Digital Design and Computer Architecture David Money Harris, Sarah L. Harris, 2013 Provides practical examples of how to interface with peripherals using RS232, SPI, motor control, interrupts, wireless, and analog-to-digital conversion. This book covers the fundamentals of digital logic design and reinforces logic concepts through the design of a MIPS microprocessor. |
| computer system architecture mit: Introduction to Embedded Systems, Second Edition Edward Ashford Lee, Sanjit Arunkumar Seshia, 2016-12-30 An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems. |
| computer system architecture mit: The Computer Music Tutorial, second edition Curtis Roads, 2023-06-06 Expanded, updated, and fully revised—the definitive introduction to electronic music is ready for new generations of students. Essential and state-of-the-art, The Computer Music Tutorial, second edition is a singular text that introduces computer and electronic music, explains its motivations, and puts topics into context. Curtis Roads’s step-by-step presentation orients musicians, engineers, scientists, and anyone else new to computer and electronic music. The new edition continues to be the definitive tutorial on all aspects of computer music, including digital audio, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, and psychoacoustics, but the second edition also reflects the enormous growth of the field since the book’s original publication in 1996. New chapters cover up-to-date topics like virtual analog, pulsar synthesis, concatenative synthesis, spectrum analysis by atomic decomposition, Open Sound Control, spectrum editors, and instrument and patch editors. Exhaustively referenced and cross-referenced, the second edition adds hundreds of new figures and references to the original charts, diagrams, screen images, and photographs in order to explain basic concepts and terms. Features New chapters: virtual analog, pulsar synthesis, concatenative synthesis, spectrum analysis by atomic decomposition, Open Sound Control, spectrum editors, instrument and patch editors, and an appendix on machine learning Two thousand references support the book’s descriptions and point readers to further study Mathematical notation and program code examples used only when necessary Twenty-five years of classroom, seminar, and workshop use inform the pace and level of the material |
| computer system architecture mit: The Art of Systems Architecting Eberhardt Rechtin, Mark W. Maier, 2010-12-12 Today's architecting must handle systems of types unknown until very recently. New domains, including personal computers, intersatellite networks, health services, and joint service command and control are calling for new architectures-and for architects specializing in those domains. Since the original publication, of this bestselling text, these |
| computer system architecture mit: Computer Organization and Architecture Stallings, 2008-02 |
| computer system architecture mit: The Pattern On The Stone W. Daniel Hillis, 2014-12-09 Most people are baffled by how computers work and assume that they will never understand them. What they don't realize -- and what Daniel Hillis's short book brilliantly demonstrates -- is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle. Avoiding technobabble or discussions of advanced hardware, the lucid explanations and colorful anecdotes in The Pattern on the Stone go straight to the heart of what computers really do. Hillis proceeds from an outline of basic logic to clear descriptions of programming languages, algorithms, and memory. He then takes readers in simple steps up to the most exciting developments in computing today -- quantum computing, parallel computing, neural networks, and self-organizing systems. Written clearly and succinctly by one of the world's leading computer scientists, The Pattern on the Stone is an indispensable guide to understanding the workings of that most ubiquitous and important of machines: the computer. |
| computer system architecture mit: A Second Modernism Arindam Dutta, 2013-09-27 An account of architecture's postwar ambition to transform itself into a research-oriented and technologically complex discipline of design expertise. After World War II, a second modernism emerged in architecture—an attempt, in architectural scholar Joan Ockman's words, “to transform architecture from a 'soft' aesthetic discipline into a 'hard,' objectively verifiable field of design expertise.” Architectural thought was influenced by linguistic, behavioral, computational, mediatic, cybernetic, and other urban and behavioral models, as well as systems-based and artificial intelligence theories. This nearly 1,000-page book examines the “techno-social” turn in architecture, taking MIT's School of Architecture and Planning as its exemplar. In essays and interviews, prominent architectural historians and educators examine the postwar “research-industrial” complex, its attendant cult of expertise, and its influence on life and letters both in America and abroad. Paying particular attention to the ways that technological thought affected the culture of the humanities, the social sciences, and architectural design, the book traces this shift toward complexity as it unfolded, from classroom practices to committee deliberations, from the challenges of research to the vicissitudes of funding. Looking closely at the ways that funded research drew academics towards a “problem-solving” and relevance-seeking mentality and away from the imported Bauhaus model of intuition and aesthetics, the book reveals how linguistics, information sciences, operations research, computer technology, and systems theory became part of architecture's expanded toolkit. This is a history not just of a school of architecture but of the research-oriented era itself. It offers a thoroughgoing exploration of the ways that policies, politics, and pedagogy transformed themselves in accord with the exponential growth of institutional power. |
| computer system architecture mit: Readings in Computer Architecture Mark D. Hill, Gurindar S. Sohi, 2000 Offering a carefully reviewed selection of over 50 papers illustrating the breadth and depth of computer architecture, this text includes insightful introductions to guide readers through the primary sources. |
| computer system architecture mit: Computer Architecture and Organization Shuangbao Paul Wang, 2021-11-29 In today’s workplace, computer and cybersecurity professionals must understand both hardware and software to deploy effective security solutions. This book introduces readers to the fundamentals of computer architecture and organization for security, and provides them with both theoretical and practical solutions to design and implement secure computer systems. Offering an in-depth and innovative introduction to modern computer systems and patent-pending technologies in computer security, the text integrates design considerations with hands-on lessons learned to help practitioners design computer systems that are immune from attacks. Studying computer architecture and organization from a security perspective is a new area. There are many books on computer architectures and many others on computer security. However, books introducing computer architecture and organization with security as the main focus are still rare. This book addresses not only how to secure computer components (CPU, Memory, I/O, and network) but also how to secure data and the computer system as a whole. It also incorporates experiences from the author’s recent award-winning teaching and research. The book also introduces the latest technologies, such as trusted computing, RISC-V, QEMU, cache security, virtualization, cloud computing, IoT, and quantum computing, as well as other advanced computing topics into the classroom in order to close the gap in workforce development. The book is chiefly intended for undergraduate and graduate students in computer architecture and computer organization, as well as engineers, researchers, cybersecurity professionals, and middleware designers. |
| computer system architecture mit: Computer Systems J. Stanley Warford, 2009-02-19 Completely revised and updated, Computer Systems, Fourth Edition offers a clear, detailed, step-by-step introduction to the central concepts in computer organization, assembly language, and computer architecture. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition. |
| computer system architecture mit: IBM's 360 and Early 370 Systems Emerson W. Pugh, Lyle R. Johnson, John H. Palmer, 1991 No product offering has had greater impact on the computer industry than the IBM System/360. This book describes the creation of this remarkable system and the developments it spawned, including its successor, System/370. |
| computer system architecture mit: The Architecture of Computer Hardware, Systems Software, and Networking Irv Englander, Wilson Wong, 2021-04-06 The Architecture of Computer Hardware, Systems Software and Networking is designed help students majoring in information technology (IT) and information systems (IS) understand the structure and operation of computers and computer-based devices. Requiring only basic computer skills, this accessible textbook introduces the basic principles of system architecture and explores current technological practices and trends using clear, easy-to-understand language. Throughout the text, numerous relatable examples, subject-specific illustrations, and in-depth case studies reinforce key learning points and show students how important concepts are applied in the real world. This fully-updated sixth edition features a wealth of new and revised content that reflects today’s technological landscape. Organized into five parts, the book first explains the role of the computer in information systems and provides an overview of its components. Subsequent sections discuss the representation of data in the computer, hardware architecture and operational concepts, the basics of computer networking, system software and operating systems, and various interconnected systems and components. Students are introduced to the material using ideas already familiar to them, allowing them to gradually build upon what they have learned without being overwhelmed and develop a deeper knowledge of computer architecture. |
| computer system architecture mit: Cloud Computing Dan C. Marinescu, 2022-02-15 Cloud Computing: Theory and Practice, Third Edition provides students and IT professionals with an in-depth analysis of the cloud from the ground up. After an introduction to network-centric computing and network-centric content, the book reviews basic concepts of concurrency and parallel and distributed systems, presents critical components of the cloud ecosystem as cloud service providers, cloud access, cloud data storage, and cloud hardware and software, covers cloud applications and cloud security, and presents research topics in cloud computing. Specific topics covered include resource virtualization, resource management and scheduling, and advanced topics like the impact of scale on efficiency, cloud scheduling subject to deadlines, alternative cloud architectures, and vehicular clouds. An included glossary covers terms grouped in several categories, from general to services, virtualization, desirable attributes and security. - Presents updated content throughout chapters on concurrency, cloud hardware and software, challenges posed by big data, mobile applications and advanced topics - Includes an expanded appendix that presents several cloud computing projects - Provides more than 400 references in the text, including recent research results in several areas related to cloud computing |
| computer system architecture mit: Computer Organization and Design John L. Hennessy, David A. Patterson, 2000 |
| computer system architecture mit: Spatial Computing Shashi Shekhar, Pamela Vold, 2020-02-18 An accessible guide to the ideas and technologies underlying such applications as GPS, Google Maps, Pokémon Go, ride-sharing, driverless cars, and drone surveillance. Billions of people around the globe use various applications of spatial computing daily—by using a ride-sharing app, GPS, the e911 system, social media check-ins, even Pokémon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places. It has changed our lives and infrastructures profoundly, marking a significant shift in how we make our way in the world. This volume in the MIT Essential Knowledge series explains the technologies and ideas behind spatial computing. The book offers accessible descriptions of GPS and location-based services, including the use of Wi-Fi, Bluetooth, and RFID for position determination out of satellite range; remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data. |
| computer system architecture mit: Advances in Computer Systems Architecture Amos Omondi, 2003-09-16 This book constitutes the refereed proceedings of the 8th Asia-Pacific Computer Systems Architecture Conference, ACSAC 2003, held in Aizu-Wakamatsu, Japan in September 2003. The 23 revised full papers presented together with 8 invited papers were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on processor architectures and innovative microarchitectures, parallel computer architectures and computation models, reconfigurable architectures, computer arithmetic, cache and memory architectures, and interconnection networks and network interfaces. |
| computer system architecture mit: A Philosophy of Software Design John Ousterhout, 2018-04-10 |
| computer system architecture mit: Embedded Computer Systems: Architectures, Modeling, and Simulation Dionisios N. Pnevmatikatos, Maxime Pelcat, Matthias Jung, 2019-08-09 This book constitutes the refereed proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2019, held in Pythagorion, Samos, Greece, in July 2019. The 21 regular papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on system design space exploration; deep learning optimization; system security; multi/many-core scheduling; system energy and heat management; many-core communication; and electronic system-level design and verification. In addition there are 13 papers from three special sessions which were organized on topics of current interest: insights from negative results; machine learning implementations; and European projects. |
| computer system architecture mit: The Multics System Elliott Irving Organick, 1972 This volume provides an overview of the Multics system developed at M.I.T.—a time-shared, general purpose utility-like system with third generation software. The advantage that this new system has over its predecessors lies in its expanded capacity to manipulate and file information on several levels and to police and control access to data in its various files. On the invitation of M.I.T.'s Project MAC, Elliott Organick developed over a period of years an explanation of the workings, concepts, and mechanisms of the Multics system. This book is a result of that effort, and is approved by the Computer Systems Research Group of Project MAC. In keeping with his reputation as a writer able to explain technical ideas in the computer field clearly and precisely, the author develops an exceptionally lucid description of the Multics system, particularly in the area of how it works. His stated purpose is to serve the expected needs of designers, and to help them to gain confidence that they are really able to exploit the system fully, as they design increasingly larger programs and subsystems. The chapter sequence was planned to build an understanding of increasingly larger entities. From segments and the addressing of segments, the discussion extends to ways in which procedure segments may link dynamically to one another and to data segments. Subsequent chapters are devoted to how Multics provides for the solution of problems, the file system organization and services, and the segment management functions of the Multics file system and how the user may employ these facilities to advantage. Ultimately, the author builds a picture of the life of a process in coexistence with other processes, and suggests ways to model or construct subsystems that are far more complex than could be implemented using predecessor computer facilities. This volume is intended for the moderately well-informed computer user accustomed to predecessor systems and familiar with some of the Multics overview literature. While not intended as a definitive work on this living, ever-changing system, the book nevertheless reflects Multics as it has been first implemented, and should reveal its flavor, structure and power for some time to come. |
| computer system architecture mit: Cloud Computing for Machine Learning and Cognitive Applications Kai Hwang, 2017-06-16 The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. 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. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples. |
| computer system architecture mit: Computer Architecture John L. Hennessy, David A. Patterson, 2006-11-03 The era of seemingly unlimited growth in processor performance is over: single chip architectures can no longer overcome the performance limitations imposed by the power they consume and the heat they generate. Today, Intel and other semiconductor firms are abandoning the single fast processor model in favor of multi-core microprocessors--chips that combine two or more processors in a single package. In the fourth edition of Computer Architecture, the authors focus on this historic shift, increasing their coverage of multiprocessors and exploring the most effective ways of achieving parallelism as the key to unlocking the power of multiple processor architectures. Additionally, the new edition has expanded and updated coverage of design topics beyond processor performance, including power, reliability, availability, and dependability. CD System Requirements PDF Viewer The CD material includes PDF documents that you can read with a PDF viewer such as Adobe, Acrobat or Adobe Reader. Recent versions of Adobe Reader for some platforms are included on the CD. HTML Browser The navigation framework on this CD is delivered in HTML and JavaScript. It is recommended that you install the latest version of your favorite HTML browser to view this CD. The content has been verified under Windows XP with the following browsers: Internet Explorer 6.0, Firefox 1.5; under Mac OS X (Panther) with the following browsers: Internet Explorer 5.2, Firefox 1.0.6, Safari 1.3; and under Mandriva Linux 2006 with the following browsers: Firefox 1.0.6, Konqueror 3.4.2, Mozilla 1.7.11. The content is designed to be viewed in a browser window that is at least 720 pixels wide. You may find the content does not display well if your display is not set to at least 1024x768 pixel resolution. Operating System This CD can be used under any operating system that includes an HTML browser and a PDF viewer. This includes Windows, Mac OS, and most Linux and Unix systems. Increased coverage on achieving parallelism with multiprocessors. Case studies of latest technology from industry including the Sun Niagara Multiprocessor, AMD Opteron, and Pentium 4. Three review appendices, included in the printed volume, review the basic and intermediate principles the main text relies upon. Eight reference appendices, collected on the CD, cover a range of topics including specific architectures, embedded systems, application specific processors--some guest authored by subject experts. |
| computer system architecture mit: Ideas That Created the Future Harry R. Lewis, 2021-02-02 Classic papers by thinkers ranging from from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science. Ideas That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936-1980 but also including important early work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today's digital world. Each paper is accompanied by a brief essay by Harry Lewis, the volume's editor, offering historical and intellectual context. |
| computer system architecture mit: Digital Design M. Morris Mano, Michael D. Ciletti, 2013 Digital Design, fifth edition is a modern update of the classic authoritative text on digital design. This book teaches the basic concepts of digital design in a clear, accessible manner. The book presents the basic tools for the design of digital circuits and provides procedures suitable for a variety of digital applications. |
| computer system architecture mit: Architecture of Computing Systems - ARCS 2006 Werner Grass, 2006 This book constitutes the refereed proceedings of the 19th International Conference on Architecture of Computing Systems, ARCS 2006, held in March 2006. The 32 revised full papers presented together with two invited and keynote papers were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on pervasive computing, memory systems, architectures, multiprocessing, energy efficient design, power awareness, network protocols, security, and distributed networks. |
| computer system architecture mit: Microprocessor 1 Philippe Darche, 2020-10-29 Since its commercialization in 1971, the microprocessor, a modern and integrated form of the central processing unit, has continuously broken records in terms of its integrated functions, computing power, low costs and energy saving status. Today, it is present in almost all electronic devices. Sound knowledge of its internal mechanisms and programming is essential for electronics and computer engineers to understand and master computer operations and advanced programming concepts. This book in five volumes focuses more particularly on the first two generations of microprocessors, those that handle 4- and 8- bit integers. Microprocessor 1 the first of five volumes presents the computation function, recalls the memory function and clarifies the concepts of computational models and architecture. A comprehensive approach is used, with examples drawn from current and past technologies that illustrate theoretical concepts, making them accessible. |
| computer system architecture mit: Distributed Computer Systems H. S. M. Zedan, 2014-05-12 Distributed Computer Systems: Theory and Practice is a collection of papers dealing with the design and implementation of operating systems, including distributed systems, such as the amoeba system, argus, Andrew, and grapevine. One paper discusses the concepts and notations for concurrent programming, particularly language notation used in computer programming, synchronization methods, and also compares three classes of languages. Another paper explains load balancing or load redistribution to improve system performance, namely, static balancing and adaptive load balancing. For program efficiency, the user can choose from various debugging approaches to locate or fix errors without significantly disturbing the program behavior. Examples of debuggers pertain to the ada language and the occam programming language. Another paper describes the architecture of a real-time distributed database system used for computer network management, monitoring integration, as well as administration and control of both local area or wide area communications networks. The book can prove helpful to programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers, such as programming, hardware interface, networking, engineering or design. |
| computer system architecture mit: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-18 An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. |
Computer | Definition, History, Operating Systems, & Facts
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computer - Kids | Britannica Kids | Homework Help
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