Download or read book A Comparison of Distributed Memory and Virtual Shared Memory Parallel Programming Models written by and published by . This book was released on 1993 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The virtues of the different parallel programming models, shared memory and distributed memory, have been much debated. Conventionally the debate could be reduced to programming convenience on the one hand, and high salability factors on the other. More recently the debate has become somewhat blurred with the provision of virtual shared memory models built on machines with physically distributed memory. The intention of such models/machines is to provide scalable shared memory, i.e. to provide both programmer convenience and high salability. In this paper, the different models are considered from experiences gained with a number of system ranging from applications in both commerce and science to languages and operating systems. Case studies are introduced as appropriate.
Download or read book Comparison of Shared and Distributed Memory Parallel Processing Models for Finding Minimum Spanning Trees written by Alan G. Emmel and published by . This book was released on 1992 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper investigates the use of parallel programming languages and models for finding Minimum Spanning Trees (MST's). Both the shared memory and distributed memory models were implemented using the P4 programming language tools developed at Argonne National Laboratory. The three main algorithmic approaches (by Prim, Kruskal and Sollin) for finding MST's were implemented and tested. Performance analysis of the algorithms and of the programming models is presented."--Author's abstract.
Download or read book Virtual Shared Memory for Distributed Architectures written by Eva Kühn and published by Nova Publishers. This book was released on 2001 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual Shared Memory for Distributed Architecture
Download or read book A Comparative Analysis of Parallel Programming Models written by John W. Cummings and published by . This book was released on 1993 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper provides a comparative analysis of the two parallel programming models: the shared-memory model and distributed-memory model. The project focused on the claims by some researchers that distributed programming model programs outperform shared programming model programs on shared-memory machines. The matrix multiply algorithm was chosen and parallel versions for the shared-memory and distributed-memory model were implemented using the C and P4 programming languages. Experiments were conducted using the Sequent, Encore and Butterfly shared-memory MIMD parallel processing machines located at Argonne National Laboratory. Timing data was plotted comparing each model for multiple runs using from one to twenty processors. The results of the experiments show that the shared programming model significantly outperformed the distributed programming model on all three machines"--Author's abstract.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Languages Compilers and Run time Environments for Distributed Memory Machines written by J. Saltz and published by Elsevier. This book was released on 2014-06-28 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.
Download or read book Shared Versus Distributed Memory Multiprocessors written by Harry F. Jordan and published by . This book was released on 1991 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "The question of whether multiprocessors should have shared or distributed memory has attracted a great deal of attention. Some researchers argue strongly for building distributed memory machines, while others argue just as strongly for programming shared memory multiprocessors. A great deal of research is underway on both types of parallel systems. This paper puts special emphasis on systems with a very large number of processors for computation intensive tasks and considers research and implementation trends. It appears that the two types of system will likely converge to a common form for large scale multiprocessors."
Download or read book Software Techniques for Customizable Distributed Shared Memory written by Satish Chandra and published by . This book was released on 1997 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Shared Memory Synchronization written by Michael Lee Scott and published by Springer Nature. This book was released on 2024 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book offers a comprehensive survey of shared-memory synchronization, with an emphasis on "systems-level" issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages. The primary intended audience for this book is "systems programmers"--the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code
Download or read book Energy Research Abstracts written by and published by . This book was released on 1995 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Tapestry written by Roy Harold Campbell and published by . This book was released on 1988 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Final Report written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Most large parallel computers now built use a hybrid architecture called a shared memory cluster. In this design, a computer consists of several nodes connected by an interconnection network. Each node contains a pool of memory and multiple processors that share direct access to it. Because shared memory clusters combine architectural features of shared memory computers and distributed memory computers, they support several different styles of parallel programming or programming models. (Further information on the design of these systems and their programming models appears in Section 2.) The purpose of this project was to investigate the programming models available on these systems and to answer three questions: (1) How easy to use are the different programming models in real applications? (2) How do the hardware and system software on different computers affect the performance of these programming models? (3) What are the performance characteristics of different programming models for typical LLNL applications on various shared memory clusters?
Download or read book OpenMP Shared Memory Parallel Programming written by Michael J. Voss and published by Springer. This book was released on 2007-03-05 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the International Workshop on OpenMP Applications and Tools, WOMPAT 2003, held in Toronto, Canada in June 2003. The 20 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in sections on tools and tool technology, OpenMP implementations, OpenMP experience, and OpenMP on clusters.
Download or read book A Shared Memory Model for Parallel Distributed Memory Machines written by David Paul Mallon and published by . This book was released on 1992 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
