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Author: Stuart Green Publisher: Mit Press ISBN: 9780262570879 Category : Computer graphics. Languages : en Pages : 233
Book Description
Green provides background information on both computer graphics and parallel computers and then goes on to describe how a distributed memory multiprocessor can be used to effectively implement the ray tracing algorithm.
Author: Stuart Green Publisher: Mit Press ISBN: 9780262570879 Category : Computer graphics. Languages : en Pages : 233
Book Description
Green provides background information on both computer graphics and parallel computers and then goes on to describe how a distributed memory multiprocessor can be used to effectively implement the ray tracing algorithm.
Author: Behrooz Parhami Publisher: Springer Science & Business Media ISBN: 0306469642 Category : Business & Economics Languages : en Pages : 512
Book Description
THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.
Author: Alan Chalmers Publisher: CRC Press ISBN: 1439863806 Category : Computers Languages : en Pages : 392
Book Description
Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering. Case studies of working applications demonstrate, in detail, practical ways of dealing with complex issues involved in parallel processing.
Author: David B. Kirk Publisher: Newnes ISBN: 0123914183 Category : Computers Languages : en Pages : 519
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: Pavan Balaji Publisher: MIT Press ISBN: 0262528819 Category : Computers Languages : en Pages : 488
Book Description
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Author: Min Chen Publisher: Springer Science & Business Media ISBN: 1447110110 Category : Computers Languages : en Pages : 292
Book Description
This book contains mainly a selection of papers that were presented at the International Workshop on High Performance Computing/or Computer Graphics and Visualisation, held in Swansea, United Kingdom on 3-4 July 1995. The workshop was sponsored by the HEFCWI Initiative on ·Parallel Computing - Foundations and Applications·, and it has provided the international computer graphics community with a platform for: • assessing and reviewing the impact of the development of high performance computing on the progress of computer graphics and visualisation; • presenting the current use of high performance computing architecture and software tools in computer graphics and visualisation, and the development of parallel graphics algorithms; • identifying potential high performance computing applications in computer graphics and visualisation, and encouraging members of the graphics community to think about their problems from the perspective of parallelism. The book is divided into six sections. The first section, which acts as the introduction of the book, gives an overview of the current state of the art It contains a comprehensive survey, by Whitman, of parallel algorithms for computer graphics and visualisation; and a discussion, by Hansen, on the past, present and future high performance computing applications in computer graphics and visualisation. The second section is focused on the design and implementation of high performance architecture, software tools and algorithms for surface rendering.
Author: Scott Whitman Publisher: CRC Press ISBN: 1439864934 Category : Computers Languages : en Pages : 232
Book Description
This comprehensive work merges two of the hottest topics in computer science: parallel computing and computer graphics. Selected Topics from the Table of Contents: -Overview of Accelerated Rendering Techniques -Overview of Parallel Methods for Image Generation -Issues in Parallel Algorithm Development -Overview of Base Level Implementation -Compari
Author: Stuart Green
Author: Stuart Green
Author: Stuart Green
Author: Behrooz Parhami
Author: Alan Chalmers
Author: David B. Kirk
Author: Xavier Pueyo
Author: Pavan Balaji
Author: Andrew E. Slater
Author: Min Chen
Author: Scott Whitman