4 edition of parallel algorithm synthesis procedure for high-performance computer architectures found in the catalog.
parallel algorithm synthesis procedure for high-performance computer architectures
Ian N. Dunn
Includes bibliographical references (p. 103-106) and index.
|Statement||Ian N. Dunn and Gerard G.L. Meyer.|
|Series||Series in computer science, Series in computer science (Kluwer Academic/Plenum Publishers)|
|Contributions||Meyer, Gerard G. L.|
|LC Classifications||QA76.642 .D86 2003, QA76.642 .D86 2003|
|The Physical Object|
|Pagination||xi, 108 p. :|
|Number of Pages||108|
|LC Control Number||2003044716|
As discussed in Chapter 8, shared-memory architecture can only accommodate a few PEs, but in practice this bottleneck can be avoided by a proper partitioning of the r, the communication bit-rates differ considerably in the shared-memory architecture shown in Figure Serial/parallel converters, previously called cache memories, have therefore been placed . A systematic algorithm-to-architectures synthesis methodology facilitated the design of both parts of the architecture and their optimal space and data flow matching View Show abstract.
Abstract. This chapter provides an overview of parallel rendering algorithms for visualization using SIMD and MIMD computers. While a thorough investigation would trace the history from the mid ’s to the present, we concentrate on the algorithms which have made recent advances in a variety of areas. As computer architectures evolve, numerical algorithms for high-performance computing struggle to cope with the high resolution and data intensive methods that are now key to many research fields. This meeting brought together computer and computational scientists who are developing innovative scalable algorithms and software with application.
Massive computation of the reconstruction algorithm for compressive sensing (CS) has been a major concern for its real‐time application. In this paper, we propose a novel high‐speed architecture for the orthogonal matching pursuit (OMP) algorithm, which is the most frequently used to reconstruct compressively sensed signals. Sanders D and Hartman J Getting started with parallel programming Proceedings of the twenty-first SIGCSE technical symposium on Computer science education, () Rudolph B () Self-assessment procedure XXI: a self-assessment procedure on concurrency, Communications of the ACM, , (), Online publication date: 1-May
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The focus of this book is to draw such a road map. The Parallel Algorithm Synthesis Procedure can be used to design reusable building blocks of adaptable, scalable software modules from which high performance signal processing applications can be constructed.
The hallmark of the procedure is a semi-systematic process for introducing parameters Author: Ian N. Dunn, Gerard G. Meyer. The Parallel Algorithm Synthesis Procedure introduces parameters to control the partitioning and scheduling of computation and communication.
The goal is to design and implement parameterized software components that can be tailored to exploit multiple scalar units within a single processor, hierarchical memories, and different configurations Author: Ian N.
Dunn, Gerard G. Meyer. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures (Series in Computer Science) (Reprint Edition) by Ian N.
Dunn Paperback, Pages, Published ISBN / ISBN / Despite five decades of research, parallel computing remains an exotic, frontier technology on the f Book Edition: Reprint Edition.
Abstract Datacenter networks provide the communication substrate for large parallel computer systems that form the ecosystem for high performance computing (HPC) systems and modern Internet applications.
The design of new datacenter networks is motivated by an array of applications ranging from communication intensive climatology, complex material simulations and molecular dynamics to such Cited by: International Symposium on Computer Architecture and High Performance Computing Workshops Synthesis Lectures on Computer ArchitectureLightweight Transactional Arrays for Read-Dominated Workloads.
Algorithms and Architectures for Parallel Processing, Cited by: ( views) Parallel Computing: Architectures, Algorithms and Applications by C. Bischof, at al. - John von Neumann Institute for Computing, The book gives an overview of the developments, applications and future trends in high performance computing for all platforms.
Synthesis Lectures on Computer Architecture Lectures available online | Lectures under development | Order print copies Editors Natalie Enright Jerger, University of Toronto Margaret Martonosi, Princeton University Founding Editor Emeritus: Mark D.
Hill, University of Wisconsin, Madison Synthesis Lectures on Computer Architecture publishes to page publications on topics pertaining to. Synthesis Lectures on Computer Architecture publishes to page publications on topics pertaining to the science and art of designing, analyzing, selecting and interconnecting hardware components to create computers that meet functional, performance and cost scope will.
In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms.
Special Needs: The University of Utah seeks to provide equal access to its programs, services and activities for people with disabilities.
If you will need accommodations in the class, reasonable prior notice needs to be given to the Center for Disability Services, Olpin Union Building, (V/TDD). Gerard G.L. Meyer is the author of A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures ( avg rating, 0 ratings, 0 rev.
In addition, a wood inspection algorithm can also be implemented with very high performance. This chapter presents a parallel computer architecture that is targeted towards automatic inspection in the forest product industry.
An algorithm is implemented to detect various surface defects in wooden boards. High Performance Datacenter Networks: Architectures, Algorithms, and Opportunities, All Chapters (It's a short synthesis lecture).
On-Chip Networks, Chapters 2, 5 & 6. Principles and Practices of Interconnection Networks, the whole book (highly recommended). A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures: Ian N.
Dunn, Gerard G.L. Meyer: Books - Multi-Scale, Integrative Model Development using High-Performance Computer Architectures. Broad coverage of important topics: The text covers virtually all the core topics in computer architecture, thus providing a balanced and complete view of the field.
Examples of material not found in many other texts include detailed coverage of computer arithmetic (Chapters ) and high-performance computing (Chapters ).
Parallel algorithms designed around halo exchange frequently show up not just in mesh-based solvers, as seen in Sectionbut also in sparse linear algebra operations such as the sparse matrix vector multiplication used in the high performance conjugate gradients (HPCG). Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously.
Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.
The goal of this book is to present an overview of the current state-of-the-art in computer architecture performance evaluation, with a special emphasis on methods for exploring processor architectures. The book focuses on fundamental concepts and ideas for obtaining accurate performance data.
The book covers various topics in performance. Starting inthe International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and future trends in cluster computing, parallel computing, and high-performance computing.
ParCo, held in Prague, Czech Republic, from 10 – 13 Septemberwas no exception. This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performanceheld in Frankfurt/Main, Germany, in June * The 27 revised full papers presented were carefully reviewed and selected from 87 submissions.
High performance computer architecture extends structure to a hierarchy of functional elements, whether small and limited in capability or possibly entire processor cores themselves. In this chapter many different classes of structure are presented, each exploiting concurrency in its own particular way.
High Performance Compilers for Parallel Computing provides a clear understanding of the analysis and optimization methods used in modern commercial research compilers for parallel systems.
By the author of the classic monograph Optimizing Supercompilers for Supercomputers, this book covers the knowledge and skills necessary to build a competitive, advanced compiler for parallel Reviews: 7.This book develops highly data-parallel image registration algorithms suitable for use on modern multicore architectures, including graphics processing units (GPUs).
Focusing on deformable registration, we show how to develop data-parallel versions of the demons registration algorithm suitable for execution on the GPU.