Download or read book Parallel Computing on Distributed Memory Multiprocessors written by Füsun Özgüner and published by Springer Science & Business Media. This book was released on 1993-02-10 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute on Parallel Computing on Distributed Memory Multiprocessors, held at Bilkent University, Ankara, Turkey, July 1-13, 1991
Download or read book Parallel Computing on Distributed Memory Multiprocessors written by Füsun Özgüner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in microelectronic technology have made massively parallel computing a reality and triggered an outburst of research activity in parallel processing architectures and algorithms. Distributed memory multiprocessors - parallel computers that consist of microprocessors connected in a regular topology - are increasingly being used to solve large problems in many application areas. In order to use these computers for a specific application, existing algorithms need to be restructured for the architecture and new algorithms developed. The performance of a computation on a distributed memory multiprocessor is affected by the node and communication architecture, the interconnection network topology, the I/O subsystem, and the parallel algorithm and communication protocols. Each of these parametersis a complex problem, and solutions require an understanding of the interactions among them. This book is based on the papers presented at the NATO Advanced Study Institute held at Bilkent University, Turkey, in July 1991. The book is organized in five parts: Parallel computing structures and communication, Parallel numerical algorithms, Parallel programming, Fault tolerance, and Applications and algorithms.
Download or read book Multiprocessors and Parallel Processing written by Comtre Corporation and published by Wiley-Interscience. This book was released on 1974 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepares the reader for the age of the multiprocessor -- Preface.
Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Download or read book Partitioning and Scheduling Parallel Programs for Multiprocessors written by Vivek Sarkar and published by Pitman Publishing. This book was released on 1989 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first to address the problem of forming useful parallelism from potential parallelism and to provide a general solution. The book presents two approaches to automatic partitioning and scheduling so that the same parallel program can be made to execute efficiently on widely different multiprocessors. The first approach is based on a macro dataflow model in which the program is partitioned into tasks at compile time and the tasks are scheduled on processors at run time. The second approach is based on a compile time scheduling model, where both the partitioning and scheduling are performed at compile time. Both approaches have been implemented in partition programs written in the single assignment language SISAL. The inputs to the partitioning and scheduling algorithms are a graphical representation of the parallel program and a list of parameters describing the target multiprocessor. Execution profile information is used to derive compile-time estimates of execution times and data sizes in the program. Both the macro dataflow and compile-time scheduling problems are expressed as optimization problems and are shown to be NP complete in the strong sense. Efficient approximation algorithms for these problems are presented. Finally, the effectiveness of the partitioning and scheduling algorithms is studied by multiprocessor simulations of various SISAL benchmark programs for different target multiprocessor parameters. Vivek Sarkar is a Member of Research Staff at the IBM T. J. Watson Research Center. Partitioning and Scheduling Parallel Programs for Multiprocessing is included in the series Research Monographs in Parallel and Distributed Computing. Copublished with Pitman Publishing.
Download or read book Multiprocessors written by M. Satyanarayanan and published by Prentice Hall. This book was released on 1980 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gives the reader an idea of how multiprocessing is done with some of the computer computers systems found today, with eight multiprocessors as case studies.
Download or read book Parallel Processing and Medium scale Multiprocessors written by Arthur Wouk and published by SIAM. This book was released on 1989-01-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Download or read book The Art of Multiprocessor Programming Revised Reprint written by Maurice Herlihy and published by Elsevier. This book was released on 2012-06-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. - This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 - Learn the fundamentals of programming multiple threads accessing shared memory - Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems - Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience
Download or read book Advanced Computer Architecture and Parallel Processing written by Hesham El-Rewini and published by John Wiley & Sons. This book was released on 2005-04-08 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer. It also encompasses word lengths, instruction codes, and the interrelationships among the main parts of a computer or group of computers. This two-volume set offers a comprehensive coverage of the field of computer organization and architecture.
Download or read book Hypercube Multiprocessors 1986 written by Michael T. Heath and published by SIAM. This book was released on 1986-01-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings -- Parallel Computing.
Download or read book Multiprocessors written by Daniel Tabak and published by Prentice Hall. This book was released on 1990 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Architecture and Parallel Processing written by Kai Hwang and published by McGraw-Hill Companies. This book was released on 1984 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Systems Organization -- Parallel architecture.
Download or read book Parallel Processing in Information Systems written by John Van Zandt and published by John Wiley & Sons. This book was released on 1992 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: For corporate information systems managers, professionals, provides basic information about the use of parallel processors in information systems. Discusses the theory and benefits of parallel processing, application domains such as databases and online transaction processes, programming methodologies, enabling technologies, and other topics. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book Chip Multiprocessor Architecture written by Kunle Olukotun and published by Springer Nature. This book was released on 2022-05-31 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chip multiprocessors - also called multi-core microprocessors or CMPs for short - are now the only way to build high-performance microprocessors, for a variety of reasons. Large uniprocessors are no longer scaling in performance, because it is only possible to extract a limited amount of parallelism from a typical instruction stream using conventional superscalar instruction issue techniques. In addition, one cannot simply ratchet up the clock speed on today's processors, or the power dissipation will become prohibitive in all but water-cooled systems. Compounding these problems is the simple fact that with the immense numbers of transistors available on today's microprocessor chips, it is too costly to design and debug ever-larger processors every year or two. CMPs avoid these problems by filling up a processor die with multiple, relatively simpler processor cores instead of just one huge core. The exact size of a CMP's cores can vary from very simple pipelines to moderately complex superscalar processors, but once a core has been selected the CMP's performance can easily scale across silicon process generations simply by stamping down more copies of the hard-to-design, high-speed processor core in each successive chip generation. In addition, parallel code execution, obtained by spreading multiple threads of execution across the various cores, can achieve significantly higher performance than would be possible using only a single core. While parallel threads are already common in many useful workloads, there are still important workloads that are hard to divide into parallel threads. The low inter-processor communication latency between the cores in a CMP helps make a much wider range of applications viable candidates for parallel execution than was possible with conventional, multi-chip multiprocessors; nevertheless, limited parallelism in key applications is the main factor limiting acceptance of CMPs in some types of systems. After a discussion of the basic pros and cons of CMPs when they are compared with conventional uniprocessors, this book examines how CMPs can best be designed to handle two radically different kinds of workloads that are likely to be used with a CMP: highly parallel, throughput-sensitive applications at one end of the spectrum, and less parallel, latency-sensitive applications at the other. Throughput-sensitive applications, such as server workloads that handle many independent transactions at once, require careful balancing of all parts of a CMP that can limit throughput, such as the individual cores, on-chip cache memory, and off-chip memory interfaces. Several studies and example systems, such as the Sun Niagara, that examine the necessary tradeoffs are presented here. In contrast, latency-sensitive applications - many desktop applications fall into this category - require a focus on reducing inter-core communication latency and applying techniques to help programmers divide their programs into multiple threads as easily as possible. This book discusses many techniques that can be used in CMPs to simplify parallel programming, with an emphasis on research directions proposed at Stanford University. To illustrate the advantages possible with a CMP using a couple of solid examples, extra focus is given to thread-level speculation (TLS), a way to automatically break up nominally sequential applications into parallel threads on a CMP, and transactional memory. This model can greatly simplify manual parallel programming by using hardware - instead of conventional software locks - to enforce atomic code execution of blocks of instructions, a technique that makes parallel coding much less error-prone. Contents: The Case for CMPs / Improving Throughput / Improving Latency Automatically / Improving Latency using Manual Parallel Programming / A Multicore World: The Future of CMPs
Download or read book Parallel Computing written by Barbara Chapman and published by IOS Press. This book was released on 2010 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and FPGAs Free Programmable Gate Array to build parallel computers with a wide spectrum of high-speed processing functions. The scale of this powerful hardware is limited only by factors such as energy consumption and thermal control. However, in addition to"
Download or read book Operating System for Parallel Computing Issues and Problems written by Sabih Jamal and published by GRIN Verlag. This book was released on 2014-05-09 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2014 in the subject Computer Science - Theory, grade: A+, , language: English, abstract: Parallel computing attempts to solve many complex problems by using multiple computing resources simultaneously. This review paper is intended to address some of the major operating systems’ design issues for shared memory parallel computers like SMPs. Parallel computers can be classified according to the level at which the architecture supports parallelism, with multi-core and multi-processor computers The paper proceeds by specifying key design issues of operating system: like processes synchronization, memory management, communication, concurrency control, and scheduling in case of shared memory SMPs. It also elaborates some concerns of Linux scheduler, for shared memory SMPs parallel computing. The basic objective of the paper is to provide a quick overview of problems that may arise in designing parallel computing operating system.
Download or read book Introduction to Parallel Computing written by Ananth Grama and published by Pearson Education. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
