Search Results: principles-of-parallel-programming

Principles of Parallel Programming

Author: Larry Snyder,Calvin Lin

Publisher: Pearson Higher Ed

ISBN: 0133001725

Category: Computers

Page: 352

View: 7908

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Written by well-known researchers Larry Snyder and Calvin Lin, this highly anticipated first edition emphasizes the principles underlying parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. Ideal for an advanced upper-level undergraduate course, Principles of Parallel Programming supplies enduring knowledge that will outlive the current hardware and software, aiming to inspire future researchers to build tomorrow’s solutions.

Principles of Parallel Programming

Author: Lin

Publisher: Pearson Education India

ISBN: 9788131729526

Category:

Page: 352

View: 9798

Parallel Processing and Parallel Algorithms

Theory and Computation

Author: Seyed H Roosta

Publisher: Springer Science & Business Media

ISBN: 1461212200

Category: Computers

Page: 566

View: 6839

Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.

Principles of Concurrent and Distributed Programming

Author: M. Ben-Ari,Môtî Ben-Arî

Publisher: Pearson Education

ISBN: 9780321312839

Category: Computers

Page: 361

View: 7384

Award for Outstanding Contribution to Computer Science Education. Software today is inherently concurrent or distributed - from event-based GUI designs to operating and real-time systems to Internet applications. The new edition of this classic introduction to concurrency has been completely revised in view of the growing importance of concurrency constructs embedded in programming languages and of formal methods such as model checking that are widely used in industry.

Foundations of parallel programming

a machine-indepedent approach

Author: Theodore Gyle Lewis

Publisher: IEEE Computer Society

ISBN: N.A

Category: Parallel programming (Computer science)

Page: 282

View: 7458

Encyclopedia of Parallel Computing

Author: David Padua

Publisher: Springer Science & Business Media

ISBN: 0387097651

Category: Computers

Page: 2175

View: 7284

Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing

Parallel Computing

Principles and Practice

Author: T. J. Fountain

Publisher: Cambridge University Press

ISBN: 0521031893

Category: Computers

Page: 360

View: 4256

This book sets out the principles of parallel computing in a way which will be useful to student and potential user alike. It includes coverage of both conventional and neural computers. The content of the book is arranged hierarchically. It explains why, where and how parallel computing is used; the fundamental paradigms employed in the field; how systems are programmed or trained; technical aspects including connectivity and processing element complexity; and how system performance is estimated (and why doing so is difficult). The penultimate chapter of the book comprises a set of case studies of archetypal parallel computers, each study written by an individual closely connected with the system in question. The final chapter correlates the various aspects of parallel computing into a taxonomy of systems.

Proceedings of the ... ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming

PPOPP.

Author: N.A

Publisher: N.A

ISBN: 9781595936028

Category: Parallel programming (Computer science)

Page: 274

View: 3753

The search for simplicity

essays in parallel programming

Author: Per Brinch Hansen

Publisher: IEEE

ISBN: 9780818675669

Category: Computers

Page: 528

View: 1890

This is the first collection of classic papers by renowned computer scientist and author Per Brinch Hansen. The book is intended for computer scientists and programmers who are interested in the programming principles of operating systems, parallel languages, and computational science. These writings demonstrate the author's ability to recognize the essence of complex software problems and design simple working systems of nontrivial size.

Parallel Programming with MPI

Author: Peter S. Pacheco

Publisher: Morgan Kaufmann

ISBN: 9781558603394

Category: Computers

Page: 418

View: 7591

Mathematics of Computing -- Parallelism.

Handbook of Parallel Computing and Statistics

Author: Erricos John Kontoghiorghes

Publisher: CRC Press

ISBN: 9781420028683

Category: Mathematics

Page: 552

View: 8421

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many popular solutions have emerged based on its concepts, such as grid computing and massively parallel supercomputers. The Handbook of Parallel Computing and Statistics systematically applies the principles of parallel computing for solving increasingly complex problems in statistics research. This unique reference weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the architecture, programming, and computational aspects of parallel processing. Focus then turns to optimization methods followed by statistical applications. These applications include algorithms for predictive modeling, adaptive design, real-time estimation of higher-order moments and cumulants, data mining, econometrics, and Bayesian computation. Expert contributors summarize recent results and explore new directions in these areas. Its intricate combination of theory and practical applications makes the Handbook of Parallel Computing and Statistics an ideal companion for helping solve the abundance of computation-intensive statistical problems arising in a variety of fields.

Multicore Programming Using the ParC Language

Author: Yosi Ben-Asher

Publisher: Springer Science & Business Media

ISBN: 1447121643

Category: Computers

Page: 277

View: 8148

Multicore Programming Using the ParC Language discusses the principles of practical parallel programming using shared memory on multicore machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Students can also help to cement their learning by completing the great many challenging and exciting exercises which accompany each chapter.

PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING

Author: V. Rajaraman, ,RAM MURTHY C. SIVA

Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120352629

Category: Computers

Page: 492

View: 7162

Today all computers, from tablet/desktop computers to super computers, work in parallel. A basic knowledge of the architecture of parallel computers and how to program them, is thus, essential for students of computer science and IT professionals. In its second edition, the book retains the lucidity of the first edition and has added new material to reflect the advances in parallel computers. It is designed as text for the final year undergraduate students of computer science and engineering and information technology. It describes the principles of designing parallel computers and how to program them. This second edition, while retaining the general structure of the earlier book, has added two new chapters, ‘Core Level Parallel Processing’ and ‘Grid and Cloud Computing’ based on the emergence of parallel computers on a single silicon chip popularly known as multicore processors and the rapid developments in Cloud Computing. All chapters have been revised and some chapters are re-written to reflect the emergence of multicore processors and the use of MapReduce in processing vast amounts of data. The new edition begins with an introduction to how to solve problems in parallel and describes how parallelism is used in improving the performance of computers. The topics discussed include instruction level parallel processing, architecture of parallel computers, multicore processors, grid and cloud computing, parallel algorithms, parallel programming, compiler transformations, operating systems for parallel computers, and performance evaluation of parallel computers.

Advanced Computer Architecture & Computing

Author: S.S. Jadhav

Publisher: Technical Publications

ISBN: 9788184312058

Category:

Page: 451

View: 7853

Overview of parallel processing and pipelining processingNecessity of high performance, Constraints of conventional architecture, Parallelism in uniprocessor system, Evolution of parallel processors, future trends, Architectural classification, Applications of parallel processing, Instruction level parallelism and thread level parallelism, Explicitly parallel instruction computing (EPIC) architecture, Case study of intel itanium processor.Principles of scalable performance : Performance metrics and measures, Speedup performance laws.Pipeline architecturePrinciples and implementation of pipelining, Classification of pipelining processors, General pipelining reservation table, Design aspect of arithmetic and instruction pipelining, Pipelining hazards and resolving techniques, Data buffering techniques, Job sequencing and collision, Advanced pipelining techniques, loop unrolling techniques, out of order execution, software scheduling, trace scheduling, Predicated execution, Speculative loading, Register stack engine, Software pipelining, VLIW (Very Long Instruction Word) processor, Case study : Superscalar, Architecture - Pentium, Ultra SPARC.Vector and array processorBasic vector architecture, Issues in vector processing, Vector performance modeling, vectorizers and optimizers, Case study : Cray Arch.SIMD computer organization : Masking and data network mechanism, Inter PE communication, Interconnection networks of SIMD, Static Vs dynamic network, cube hypercube and mesh interconnection network.Parallel algorithms for array processors : Matrix multiplication, Sorting, FFT.Multiprocessor architectureLoosely and tightly coupled multiprocessors, Processor characteristics of multiprocessors, Inter processor communication network, Time shared bus, Crossbar switch, Multiport memory model, Memory contention and arbitration techniques, Cache coherency and bus snooping, Massively Parallel Processors (MPP), COW s and NOW s cluster and network of work stations, Chip multiprocessing (CMP), Case study of IBM power 4 processor.Inter processor communication and synchronizationMultithreaded architectureMultithreaded processors, Latency hiding techniques, Principles of multithreading, Issues and solutions.Parallel programming techniques : Message passing program development, Synchronous and asynchronous message passing, Message passing parallel programming, Shared memory programming, Data parallel programming.Parallel software issuesa) Parallel algorithms for multiprocessors, classification of parallel algorithms, performance of parallel algorithms.b)Operating systems for multiprocessors systems, Message passing libraries for parallel programming interface, PVM (in distributed memory system), Message passing interfaces (MPI), Pthreads (in shared memory system).C) Parallel programming languages : Fortan 90, Occam, C-Linda, CCC etc.d) Issues towards cluster computing, Introduction to neuro computing and grid computing.

MPI - Eine Einführung

Portable parallele Programmierung mit dem Message-Passing Interface

Author: William Gropp,Ewing Lusk,Anthony Skjellum

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486841009

Category: Computers

Page: 387

View: 6069

Message Passing Interface (MPI) ist ein Protokoll, das parallel Berechnungen auf verteilten, heterogenen, lose-gekoppelten Computersystemen ermöglicht.

Foundations of Multithreaded, Parallel, and Distributed Programming

Author: Gregory R. Andrews

Publisher: Addison Wesley

ISBN: N.A

Category: Computers

Page: 664

View: 3589

Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance.Features Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern Includes a number of case studies which cover such topics as pthreads, MPI, and OpenMP libraries, as well as programming languages like Java, Ada, high performance Fortran, Linda, Occam, and SR Provides examples using Java syntax and discusses how Java deals with monitors, sockets, and remote method invocation Covers current programming techniques such as semaphores, locks, barriers, monitors, message passing, and remote invocation Concrete examples are executed with complete programs, both shared and distributed Sample applications include scientific computing and distributed systems 0201357526B04062001

Multicore-Programmierung

Performance erhöhen durch Software-Multithreading

Author: Shameem Akhter,Jason Roberts

Publisher: N.A

ISBN: 9783939084709

Category:

Page: 298

View: 1601

UPC

Distributed Shared Memory Programming

Author: Tarek El-Ghazawi,William Carlson,Thomas Sterling,Katherine Yelick

Publisher: John Wiley & Sons

ISBN: 0471478377

Category: Computers

Page: 252

View: 7119

This is the first book to explain the language Unified Parallel Cand its use. Authors El-Ghazawi, Carlson, and Sterling are amongthe developers of UPC, with close links with the industrial membersof the UPC consortium. Their text covers background material onparallel architectures and algorithms, and includes UPC programmingcase studies. This book represents an invaluable resource for thegrowing number of UPC users and applications developers. Moreinformation about UPC can be found at: http://upc.gwu.edu/ An Instructor Support FTP site is available from the Wileyeditorial department.

Proceedings of the 1993 International Conference on Parallel Processing

Author: Alok N. Choudhary,P. Bruce Berra

Publisher: CRC Press

ISBN: 9780849389856

Category: Computers

Page: 336

View: 6038

This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to their complete computer reference library.

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