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The purpose of this book is to evaluate strategies for future system design in multiprocessor system-on-chip (MPSoC) architectures. Both hardware design and integration of new development tools will be discussed. Novel trends in MPSoC design, combined with reconfigurable architectures are a main topic of concern. The main emphasis is on architectures, design-flow, tool-development, applications and system design.
Provides an overview of SPARC architecture, including architecture conformance, semi-conductor technology scalability, multiprocessor support, as well as system level resources, SPARC multi-level Bus architectures--MBus and XBus, multiprocessor system design and simulation, and multiprocessor software. Geared to engineers and engineering professionals who want to understand the various architectural components, both hardware and software from Sun Microsystems.
Modern system-on-chip (SoC) design shows a clear trend toward integration of multiple processor cores on a single chip. Designing a multiprocessor system-on-chip (MPSOC) requires an understanding of the various design styles and techniques used in the multiprocessor. Understanding the application area of the MPSOC is also critical to making proper tradeoffs and design decisions. Multiprocessor Systems-on-Chips covers both design techniques and applications for MPSOCs. Design topics include multiprocessor architectures, processors, operating systems, compilers, methodologies, and synthesis algorithms, and application areas covered include telecommunications and multimedia. The majority of the chapters were collected from presentations made at the International Workshop on Application-Specific Multi-Processor SoC held over the past two years. The workshop assembled internationally recognized speakers on the range of topics relevant to MPSOCs. After having refined their material at the workshop, the speakers are now writing chapters and the editors are fashioning them into a unified book by making connections between chapters and developing common terminology. *Examines several different architectures and the constraints imposed on them *Discusses scheduling, real-time operating systems, and compilers *Analyzes design trade-off and decisions in telecommunications and multimedia applications
The goal of this book is to present and compare various options one for systems architecture from two separate points of view. One, that of the information technology decision-maker who must choose a solution matching company business requirements, and secondly that of the systems architect who finds himself between the rock of changes in hardware and software technologies and the hard place of changing business needs. Different aspects of server architecture are presented, from databases designed for parallel architectures to high-availability systems, and touching en route on often- neglected performance aspects. - The book provides IT managers, decision makers and project leaders who want to acquire knowledge sufficient to understand the choices made in and capabilities of systems offered by various vendors - Provides system design information to balance the characteristic applications against the capabilities and nature of various architectural choices - In addition, it offers an integrated view of the concepts in server architecture, accompanied by discussion of effects on the evolution of the data processing industry
To thoroughly understand what makes Linux tick and why it's so efficient, you need to delve deep into the heart of the operating system--into the Linux kernel itself. The kernel is Linux--in the case of the Linux operating system, it's the only bit of software to which the term "Linux" applies. The kernel handles all the requests or completed I/O operations and determines which programs will share its processing time, and in what order. Responsible for the sophisticated memory management of the whole system, the Linux kernel is the force behind the legendary Linux efficiency. The new edition of Understanding the Linux Kernel takes you on a guided tour through the most significant data structures, many algorithms, and programming tricks used in the kernel. Probing beyond the superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Relevant segments of code are dissected and discussed line by line. The book covers more than just the functioning of the code, it explains the theoretical underpinnings for why Linux does things the way it does. The new edition of the book has been updated to cover version 2.4 of the kernel, which is quite different from version 2.2: the virtual memory system is entirely new, support for multiprocessor systems is improved, and whole new classes of hardware devices have been added. The authors explore each new feature in detail. Other topics in the book include: Memory management including file buffering, process swapping, and Direct memory Access (DMA) The Virtual Filesystem and the Second Extended Filesystem Process creation and scheduling Signals, interrupts, and the essential interfaces to device drivers Timing Synchronization in the kernel Interprocess Communication (IPC) Program execution Understanding the Linux Kernel, Second Edition will acquaint you with all the inner workings of Linux, but is more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. If knowledge is power, then this book will help you make the most of your Linux system.
This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.
Any UNIX programmer using the latest workstations or super minicomputers from vendors such as Sun, Silicon Graphics (SGI), ATandT, Amdahl, IBM, Apple, Compaq, Mentor Graphics, and Thinking Machines needs this book to optimize his/her job performance. This book teaches how these architectures operate using clear, comprehensible examples to explain the concepts, and provides a good reference for people already familiar with the basic concepts.
Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. In-depth coverage of complexity, power, reliability and performance, coupled with treatment of parallelism at all levels, including ILP and TLP, provides the state-of-the-art training that students need. The whole gamut of parallel architecture design options is explained, from core microarchitecture to chip multiprocessors to large-scale multiprocessor systems. All the chapters are self-contained, yet concise enough that the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. The book is also teeming with practical examples to aid the learning process, showing concrete applications of definitions. With simple models and codes used throughout, all material is made open to a broad range of computer engineering/science students with only a basic knowledge of hardware and software.
Intended as a text for undergraduate and postgraduate students of engineering in Computer Science and Engineering, Information Technology, and students pursuing courses in computer applications (BCA/MCA) and computer science (B.Sc./M.Sc.), this state-of-the-art study acquaints the students with concepts and implementations in computer architectures. Though a new title, it is a completely reorganized, thoroughly revised and fully updated version of the author’s earlier book Perspectives in Computer Architecture. The text begins with a brief account of the very early history of computers and describes the von Neumann IAS type of computers; then it goes on to give a brief introduction to the subsequent advances in computer systems covering device technologies, operational aspects, system organization and applications. This is followed by an analysis of the advances and innovations that have taken place in these areas. Advanced concepts such as look-ahead, pipelining, RISC architectures, and multi-programming are fully analyzed. The text concludes with a discussion on such topical subjects as computer networks, microprocessors and microcomputers, microprocessor families, Intel Pentium series, and newer high-power processors. HALLMARKS OF THE BOOK The text fully reflects Professor P.V.S. Rao’s long experience as an eminent academic and his professional experience as an adviser to leading telecommunications/software companies. Gives a systematic account of the evolution of computers Provides a large number of exercises to drill the students in self-study. The five Appendices at the end of the text, cover the basic concepts to enable the students to have a better understanding of the subject. Besides students, practising engineers should also find this book to be of immense value to them.
Despite the tremendous advances in performance enabled by modern architectures, there are always new applications and demands arising that require ever-increasing capabilities. Keeping up with these demands requires a deep-seated understanding of contemporary architectures in concert with a fundamental understanding of basic principles that allows one to anticipate what will be possible over the system's lifetime. Advanced Computer Architectures focuses on the design of high performance supercomputers with balanced coverage of the hardware, software structures, and application characteristics. This book is a timeless distillation of underlying principles punctuated by real-world implementations in popular current and past commercially available systems. It briefly reviews the basics of uniprocessor architecture before outlining the most popular processing paradigms, performance evaluation, and cost factor considerations. This builds to a discussion of pipeline design and vector processors, data parallel architectures, and multiprocessor systems. Rounding out the book, the final chapter explores some important current and emerging trends such as Dataflow, Grid, biology-inspired, and optical computing. More than 220 figures, tables, and equations illustrate the concepts presented. Based on the author's more than thirty years of teaching and research, Advanced Computer Architectures endows you with the tools necessary to reach the limits of existing technology, and ultimately, to break them.