A computer architecture for highly parallel signal processing PDF Download

Author: Jack Bonnell Dennis
Publisher:
ISBN:
Category : Parallel processing (Electronic computers)
Languages : en
Pages : 13

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Author: Keith Bromley
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 192

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Author: Alan D. George
Publisher: CRC Press
ISBN: 1351083066
Category : Computers
Languages : en
Pages : 287

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Book Description
This book presents a distributed multiprocessor architecture that is faster, more versatile, and more reliable than traditional single-processor architectures. It also describes a simulation technique that provides a highly accurate means for building a prototype system in software. The system prototype is studied and analyzed using such DSP applications as digital filtering and fast Fourier transforms. The code is included as well, which allows others to build software prototypes for their own research systems. The design presented in Microprocessor-Based Parallel Architecture for Reliable Digital Signal Processing Systems introduces the concept of a dual-mode architecture that allows users a dynamic choice between either a conventional or fault-tolerant system as application requirements dictate. This volume is a "must have" for all professionals in digital signal processing, parallel and distributed computer architecture, and fault-tolerant computing.

Author: Bertil Schmidt
Publisher: CRC Press
ISBN: 1439858365
Category : Computers
Languages : en
Pages : 425

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New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological

Author: Ian N. Dunn
Publisher: Springer Science & Business Media
ISBN: 1441986502
Category : Computers
Languages : en
Pages : 114

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Book Description
Despite five decades of research, parallel computing remains an exotic, frontier technology on the fringes of mainstream computing. Its much-heralded triumph over sequential computing has yet to materialize. This is in spite of the fact that the processing needs of many signal processing applications continue to eclipse the capabilities of sequential computing. The culprit is largely the software development environment. Fundamental shortcomings in the development environment of many parallel computer architectures thwart the adoption of parallel computing. Foremost, parallel computing has no unifying model to accurately predict the execution time of algorithms on parallel architectures. Cost and scarce programming resources prohibit deploying multiple algorithms and partitioning strategies in an attempt to find the fastest solution. As a consequence, algorithm design is largely an intuitive art form dominated by practitioners who specialize in a particular computer architecture. This, coupled with the fact that parallel computer architectures rarely last more than a couple of years, makes for a complex and challenging design environment. To navigate this environment, algorithm designers need a road map, a detailed procedure they can use to efficiently develop high performance, portable parallel algorithms. 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 to control the partitioning and scheduling of computation and communication. This facilitates the tailoring of software modules to exploit different configurations of multiple processors, multiple floating-point units, and hierarchical memories. To showcase the efficacy of this procedure, the book presents three case studies requiring various degrees of optimization for parallel execution.

Author: Gerard Louis Reijns
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 294

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Author: Society of Photo-optical Instrumentation Engineers
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 177

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Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519

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Book Description
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

Author: Magdy A. Bayoumi
Publisher: Springer Science & Business Media
ISBN: 146153996X
Category : Technology & Engineering
Languages : en
Pages : 289

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Book Description
Over the past few years, the demand for high speed Digital Signal Proces sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such as: 1. Intermediate data communication and routing: several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro cessing time of the intermediate middle stages. 2. Complex DSP applications: the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific systems: this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault tolerance: reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac ceptable speed performance.

Author: Jack Bonnell Dennis
Publisher:
ISBN:
Category :
Languages : en
Pages : 67

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