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High Performance Parallel Logic Programming On Distributed Shared Memory Multiprocessors
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Book Synopsis High Performance Parallel Logic Programming on Distributed Shared Memory Multiprocessors by : Hiecheol Kim
Download or read book High Performance Parallel Logic Programming on Distributed Shared Memory Multiprocessors written by Hiecheol Kim and published by . This book was released on 1996 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Computing on Distributed Memory Multiprocessors by : Füsun Özgüner
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.
Book Synopsis Shared-Memory Parallelism Can be Simple, Fast, and Scalable by : Julian Shun
Download or read book Shared-Memory Parallelism Can be Simple, Fast, and Scalable written by Julian Shun and published by Morgan & Claypool. This book was released on 2017-06-01 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.
Download or read book UPC written by Tarek El-Ghazawi and published by John Wiley & Sons. This book was released on 2005-06-24 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies. This book represents an invaluable resource for the growing number of UPC users and applications developers. More information about UPC can be found at: http://upc.gwu.edu/ An Instructor Support FTP site is available from the Wiley editorial department.
Book Synopsis Introduction to Parallel Computing by : Ananth Grama
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.
Book Synopsis Scalable Shared Memory Multiprocessors by : Michel Dubois
Download or read book Scalable Shared Memory Multiprocessors written by Michel Dubois and published by Springer Science & Business Media. This book was released on 1992 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Book Synopsis Parallel and Distributed Processing by : Jose Rolim
Download or read book Parallel and Distributed Processing written by Jose Rolim and published by Springer Science & Business Media. This book was released on 2000-04-19 with total page 1350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings from the workshops held in conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000, on 1-5 May 2000 in Cancun, Mexico. The workshopsprovidea forum for bringing together researchers,practiti- ers, and designers from various backgrounds to discuss the state of the art in parallelism.Theyfocusondi erentaspectsofparallelism,fromruntimesystems to formal methods, from optics to irregular problems, from biology to networks of personal computers, from embedded systems to programming environments; the following workshops are represented in this volume: { Workshop on Personal Computer Based Networks of Workstations { Workshop on Advances in Parallel and Distributed Computational Models { Workshop on Par. and Dist. Comp. in Image, Video, and Multimedia { Workshop on High-Level Parallel Prog. Models and Supportive Env. { Workshop on High Performance Data Mining { Workshop on Solving Irregularly Structured Problems in Parallel { Workshop on Java for Parallel and Distributed Computing { WorkshoponBiologicallyInspiredSolutionsto ParallelProcessingProblems { Workshop on Parallel and Distributed Real-Time Systems { Workshop on Embedded HPC Systems and Applications { Recon gurable Architectures Workshop { Workshop on Formal Methods for Parallel Programming { Workshop on Optics and Computer Science { Workshop on Run-Time Systems for Parallel Programming { Workshop on Fault-Tolerant Parallel and Distributed Systems All papers published in the workshops proceedings were selected by the p- gram committee on the basis of referee reports. Each paper was reviewed by independent referees who judged the papers for originality, quality, and cons- tency with the themes of the workshops.
Book Synopsis An Introduction to Parallel Programming by : Peter Pacheco
Download or read book An Introduction to Parallel Programming written by Peter Pacheco and published by Morgan Kaufmann. This book was released on 2021-08-27 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms
Book Synopsis Scalable Shared-Memory Multiprocessing by : Daniel E. Lenoski
Download or read book Scalable Shared-Memory Multiprocessing written by Daniel E. Lenoski and published by Elsevier. This book was released on 2014-06-28 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.
Book Synopsis Implementations of Distributed Prolog by : Peter Kacsuk
Download or read book Implementations of Distributed Prolog written by Peter Kacsuk and published by . This book was released on 1992-08-11 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading international contributors present papers pertaining to current approaches in the design and implementation of distributed logic languages that are a generation beyond standard Prolog, all of them introducing ideas of distributed and parallel programming in an attempt to bring high performance features to logic programming applications. Details all aspects of underlying research at a number of global centers including language, implementation models and techniques, hardware architecture, performance results, applications and more.
Author :University of Texas at Austin. Artificial Intelligence Laboratory Publisher : ISBN 13 : Total Pages :20 pages Book Rating :4.:/5 (185 download)
Book Synopsis AND-parallel Execution of Logic Programs on a Shared Memory Multiprocessor: a Summary of Results by : University of Texas at Austin. Artificial Intelligence Laboratory
Download or read book AND-parallel Execution of Logic Programs on a Shared Memory Multiprocessor: a Summary of Results written by University of Texas at Austin. Artificial Intelligence Laboratory and published by . This book was released on 1988 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Distributed Shared Memory by : Jelica Protic
Download or read book Distributed Shared Memory written by Jelica Protic and published by John Wiley & Sons. This book was released on 1997-08-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.
Book Synopsis Parallel Programming for Modern High Performance Computing Systems by : Pawel Czarnul
Download or read book Parallel Programming for Modern High Performance Computing Systems written by Pawel Czarnul and published by CRC Press. This book was released on 2018-03-05 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Software for Parallel Computation by : Janusz S. Kowalik
Download or read book Software for Parallel Computation written by Janusz S. Kowalik and published by . This book was released on 1993 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work contains papers on the most critical issue of parallel computing-software. It focuses on parallel software, programming tools, and practical experience of using parallel computers for solving demanding problems. Several high performance tools are described here for the first time.
Book Synopsis Parallel Programming in OpenMP by : Rohit Chandra
Download or read book Parallel Programming in OpenMP written by Rohit Chandra and published by Elsevier. This book was released on 2000-10-11 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP, developed jointly by several parallel computing vendors to address these issues, is an industry-wide standard for programming shared-memory and distributed shared-memory multiprocessors. It consists of a set of compiler directives and library routines that extend FORTRAN, C, and C++ codes to express shared-memory parallelism. Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program using this new standard. The authors, who helped design and implement OpenMP while at SGI, bring a depth and breadth to the book as compiler writers, application developers, and performance engineers. * Designed so that expert parallel programmers can skip the opening chapters, which introduce parallel programming to novices, and jump right into the essentials of OpenMP.* Presents all the basic OpenMP constructs in FORTRAN, C, and C++.* Emphasizes practical concepts to address the concerns of real application developers.* Includes high quality example programs that illustrate concepts of parallel programming as well as all the constructs of OpenMP.* Serves as both an effective teaching text and a compact reference.* Includes end-of-chapter programming exercises.
Author :Nikitas J. Dimopoulos Publisher :Springer Science & Business Media ISBN 13 :9780792376170 Total Pages :548 pages Book Rating :4.3/5 (761 download)
Book Synopsis High Performance Computing Systems and Applications by : Nikitas J. Dimopoulos
Download or read book High Performance Computing Systems and Applications written by Nikitas J. Dimopoulos and published by Springer Science & Business Media. This book was released on 2002 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Performance Computing Systems and Applications contains a selection of fully refereed papers presented at the 14th International Conference on High Performance Computing Systems and Applications held in Victoria, Canada, in June 2000. This book presents the latest research in HPC Systems and Applications, including distributed systems and architecture, numerical methods and simulation, network algorithms and protocols, computer architecture, distributed memory, and parallel algorithms. It also covers such topics as applications in astrophysics and space physics, cluster computing, numerical simulations for fluid dynamics, electromagnetics and crystal growth, networks and the Grid, and biology and Monte Carlo techniques. High Performance Computing Systems and Applications is suitable as a secondary text for graduate level courses, and as a reference for researchers and practitioners in industry.
Download or read book Midway written by Brian N. Bershad and published by . This book was released on 1991 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: A strictly software solution is attractive because it allows us to exploit application specific information at the lowest levels of the system, and because it ensures portability across a wide range of multiprocessor architectures."