Download or read book Scalable Parallel Computing written by Kai Hwang and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 1998 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers four areas of parallel computing: principles, technology, architecture, and programming. It is suitable for professionals and undergraduates taking courses in computer engineering, parallel processing, computer architecture, scaleable computers or distributed computing.

Download or read book Scalable Parallel Programming Applied to H 264 AVC Decoding written by Ben Juurlink and published by Springer Science & Business Media. This book was released on 2012-06-01 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Existing software applications should be redesigned if programmers want to benefit from the performance offered by multi- and many-core architectures. Performance scalability now depends on the possibility of finding and exploiting enough Thread-Level Parallelism (TLP) in applications for using the increasing numbers of cores on a chip. Video decoding is an example of an application domain with increasing computational requirements every new generation. This is due, on the one hand, to the trend towards high quality video systems (high definition and frame rate, 3D displays, etc) that results in a continuous increase in the amount of data that has to be processed in real-time. On the other hand, there is the requirement to maintain high compression efficiency which is only possible with video codes like H.264/AVC that use advanced coding techniques. In this book, the parallelization of H.264/AVC decoding is presented as a case study of parallel programming. H.264/AVC decoding is an example of a complex application with many levels of dependencies, different kernels, and irregular data structures. The book presents a detailed methodology for parallelization of this type of applications. It begins with a description of the algorithm, an analysis of the data dependencies and an evaluation of the different parallelization strategies. Then the design and implementation of a novel parallelization approach is presented that is scalable to many core architectures. Experimental results on different parallel architectures are discussed in detail. Finally, an outlook is given on parallelization opportunities in the upcoming HEVC standard.

Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.

Download or read book Compiler Optimizations for Scalable Parallel Systems written by Santosh Pande and published by Springer. This book was released on 2003-06-29 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization. This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.

Download or read book Annual Review of Scalable Computing written by Yuen Chung Kwong and published by World Scientific. This book was released on 2003-04-03 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains four review articles in the area of scalable computing. Two of the articles discuss methods and tools for the parallel solution of irregular problems, which have been satisfactorily worked out in heterogeneous systems. One surveys the technology and applications of multimedia server clusters, which are playing an increasing role in the current networked environment. An additional article discusses SilkRoad, which adds distributed shared memory capabilities to the Cilk parallel programming system. Once again, the book represents a new set of steps forward in parallel systems. Contents:Parallel Computing Strategies for Irregular AlgorithmsA Runtime Support for Large-Scale Irregular Computing on Clusters and GridsMemory Model Support for Mixed Programming Paradigm in SilkRoadClustered Multimedia Servers: Architectures and Storage Systems Readership: Graduate students, academics and researchers in supercomputing and computer engineering. Keywords:Clusters;Distributed Shared Memory;Heterogeneous Systems;Irregular Problems;Multimedia Servers;Parallel Processing;Scalable Computing

Download or read book Annual Review of Scalable Computing written by Yuen Chung Kwong and published by World Scientific. This book was released on 2003 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains four review articles in the area of scalable computing. Two of the articles discuss methods and tools for the parallel solution of irregular problems, which have been satisfactorily worked out in heterogeneous systems. One surveys the technology and applications of multimedia server clusters, which are playing an increasing role in the current networked environment. An additional article discusses SilkRoad, which adds distributed shared memory capabilities to the Cilk parallel programming system. Once again, the book represents a new set of steps forward in parallel systems. Graduate students, academics and researchers in supercomputing and computer engineering.

Download or read book Annual Review of Scalable Computing written by C. K. Yuen and published by World Scientific. This book was released on 2002 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively discusses significant projects in scalable computing in various research organizations around the world.

Download or read book Annual Review of Scalable Computing written by C. K. Yuen and published by World Scientific. This book was released on 2001 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third volume in the Series on Scalable Computing, this book contains five new articles describing significant developments in the field. Included are such current topics as clusters, parallel tools, load balancing, mobile systems, and architecture independence. Contents: Anatomy of a Resource Management System for HPC Clusters; On-Line OCM-Based Tool Support for Parallel Applications; Task Scheduling on NOWs Using Lottery-Based Work Stealing; Transaction Management in a Mobile Data Access System; Architecture Inclusive Parallel Programming. Readership: Graduate students, researchers and academics in supercomputing and computer engineering.

Download or read book Annual Review of Scalable Computing written by Yuen Chung Kwong and published by World Scientific. This book was released on 2000-09-29 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a forum for researchers in scalable computing to publish extended-length articles on significant new developments. An article may present comprehensive results from a major project, review recent work in a sub-domain, or expound new ideas in a detailed, tutorial fashion, at a length which most journals and conference proceedings cannot accommodate. The five articles in this book give an excellent illustration of the different types of material requiring such extensive treatment, and should serve well to encourage future authors with similar ideas to consider publishing in the Series on Scalable Computing. Contents:Active Objects: A Software Structure for Cluster-Based Systems (C K Yuen)Scalable Optimistic Parallel Simulation (Y M Teo & S C Tay)High Performance Fortran for Advanced Applications (S Benkner)Inter Process Communication Optimization in a Scalable Computing Cluster (O La'adan & A Barak)Designing Superservers with Clusters and Commodity Components (Z Xu & K Hwang) Readership: Researchers in computer science. Keywords:Active Objects;BaLinda;Clusters;High Performance;Fortran;IPC;Parallel Programming;Simulation;Superservers

Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-06-25 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Download or read book Instructor s Solutions Manual to Accompany Scaladle Parallel Computing Technology Architecture and Programming by Kai Hwang Zhiwei Xu written by Kwai Hwang and published by . This book was released on 1998 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Research on Scalable Computing Technologies written by Li, Kuan-Ching and published by IGI Global. This book was released on 2009-07-31 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents, discusses, shares ideas, results and experiences on the recent important advances and future challenges on enabling technologies for achieving higher performance"--Provided by publisher.

Download or read book Languages Compilers and Run Time Systems for Scalable Computers written by David O'Hallaron and published by Springer. This book was released on 2003-06-29 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR '98, held in Pittsburgh, PA, USA in May 1998. The 23 revised full papers presented were carefully selected from a total of 47 submissions; also included are nine refereed short papers. All current issues of developing software systems for parallel and distributed computers are covered, in particular irregular applications, automatic parallelization, run-time parallelization, load balancing, message-passing systems, parallelizing compilers, shared memory systems, client server applications, etc.

Download or read book Applied Parallel Computing written by Yuefan Deng and published by World Scientific. This book was released on 2013 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

Download or read book Languages Compilers and Run Time Systems for Scalable Computers written by Sandhya Dwarkadas and published by Springer. This book was released on 2003-07-31 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR 2000, held in Rochester, NY, USA in May 2000. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on data-intensive computing, static analysis, openMP support, synchronization, software DSM, heterogeneous/-meta-computing, issues of load, and compiler-supported parallelism.

Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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 443 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.