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Author : Anonim
Publisher : Unknown
Page : 792 pages
File Size : 42,6 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015019487258
Computer Systems Organization -- Parallel architecture.
Author : Simon Marlow
Publisher : "O'Reilly Media, Inc."
Page : 322 pages
File Size : 46,7 Mb
Release : 2013-07-12
Category : Computers
ISBN : 9781449335922
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network
Author : Sushil K Prasad,Anshul Gupta,Arnold L Rosenberg,Alan Sussman,Charles C Weems
Publisher : Morgan Kaufmann
Page : 360 pages
File Size : 44,9 Mb
Release : 2015-09-16
Category : Computers
ISBN : 9780128039380
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts
Author : Vijay K. Garg
Publisher : John Wiley & Sons
Page : 331 pages
File Size : 47,6 Mb
Release : 2005-01-28
Category : Computers
ISBN : 9780471721260
Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists of two parts. The first part deals with techniques for programming in shared-memory based systems. The book covers concepts in Java such as threads, synchronized methods, waits, and notify to expose students to basic concepts for multi-threaded programming. It also includes algorithms for mutual exclusion, consensus, atomic objects, and wait-free data structures. The second part of the book deals with programming in a message-passing system. This part covers resource allocation problems, logical clocks, global property detection, leader election, message ordering, agreement algorithms, checkpointing, and message logging. Primarily a textbook for upper-level undergraduates and graduate students, this thorough treatment will also be of interest to professional programmers.
Author : A.W. Roscoe
Publisher : Springer Science & Business Media
Page : 528 pages
File Size : 51,7 Mb
Release : 2010-10-10
Category : Computers
ISBN : 9781848822580
CSP notation has been used extensively for teaching and applying concurrency theory, ever since the publication of the text Communicating Sequential Processes by C.A.R. Hoare in 1985. Both a programming language and a specification language, the theory of CSP helps users to understand concurrent systems, and to decide whether a program meets its specification. As a member of the family of process algebras, the concepts of communication and interaction are presented in an algebraic style. An invaluable reference on the state of the art in CSP, Understanding Concurrent Systems also serves as a comprehensive introduction to the field, in addition to providing material for a number of more advanced courses. A first point of reference for anyone wanting to use CSP or learn about its theory, the book also introduces other views of concurrency, using CSP to model and explain these. The text is fully integrated with CSP-based tools such as FDR, and describes how to create new tools based on FDR. Most of the book relies on no theoretical background other than a basic knowledge of sets and sequences. Sophisticated mathematical arguments are avoided whenever possible. Topics and features: presents a comprehensive introduction to CSP; discusses the latest advances in CSP, covering topics of operational semantics, denotational models, finite observation models and infinite-behaviour models, and algebraic semantics; explores the practical application of CSP, including timed modelling, discrete modelling, parameterised verifications and the state explosion problem, and advanced topics in the use of FDR; examines the ability of CSP to describe and enable reasoning about parallel systems modelled in other paradigms; covers a broad variety of concurrent systems, including combinatorial, timed, priority-based, mobile, shared variable, statecharts, buffered and asynchronous systems; contains exercises and case studies to support the text; supplies further tools and information at the associated website: http://www.comlab.ox.ac.uk/ucs/. From undergraduate students of computer science in need of an introduction to the area, to researchers and practitioners desiring a more in-depth understanding of theory and practice of concurrent systems, this broad-ranging text/reference is essential reading for anyone interested in Hoare’s CSP.
Author : Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram
Publisher : Springer Science & Business Media
Page : 645 pages
File Size : 44,5 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662043035
Here, authors from academia and practice provide practitioners, scientists and graduates with basic methods and paradigms, as well as important issues and trends across the spectrum of parallel and distributed processing. In particular, they cover such fundamental topics as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, as well as the relevant networking aspects. A chapter is dedicated to each of parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems.
Author : Matthew J. Sottile,Timothy G. Mattson,Craig E Rasmussen
Publisher : CRC Press
Page : 346 pages
File Size : 50,7 Mb
Release : 2009-09-28
Category : Computers
ISBN : 9781420072143
Illustrating the effect of concurrency on programs written in familiar languages, this text focuses on novel language abstractions that truly bring concurrency into the language and aid analysis and compilation tools in generating efficient, correct programs. It also explains the complexity involved in taking advantage of concurrency with regard to program correctness and performance. The book describes the historical development of current programming languages and the common threads that exist among them. It also contains several chapters on design patterns for parallel programming and includes quick reference guides to OpenMP, Erlang, and Cilk. Ancillary materials are available on the book's website.
Author : Adele Kuzmiakova
Publisher : Arcler Press
Page : 0 pages
File Size : 51,9 Mb
Release : 2022-12
Category : Electronic
ISBN : 1774694484
The book "Concurrent, Parallel, and Distributed Computing" offers an excellent overview of the various areas of the computing field. There is a lot of overlap between the words "concurrent computing," "parallel computing," and "distributed computing," and there is no obvious differentiation between them. The same system can be described as "parallel" and "distributed"; in a typical distributed system, the processors run concurrently in parallel.The content in the book is presented in such a way that even a reader with no prior knowledge of computers may understand it and become acquainted with the fundamental concepts of computing. It offers numerous small examples, demonstration materials, and sample exercises that teachers can use to teach parallel programming principles to students who have just recently been introduced to basic programming concepts. It focuses on Python multiprocessing features like fork/join threading, message passing, sharing resources between threads, and using locks. Parallelism's utility can be seen in applications like searching, sorting, and simulations. Students and researchers can get an accessible and comprehensive explanation of the concepts, guidelines, and, in particular, the complex instrumentation techniques used in computing.
Author : Paul E. McKenney
Publisher : Unknown
Page : 128 pages
File Size : 52,5 Mb
Release : 2015-06-13
Category : Electronic
ISBN : 1320627307
Author : Timothy G. Mattson,Berna Massingill,Beverly Sanders
Publisher : Addison-Wesley Professional
Page : 456 pages
File Size : 50,6 Mb
Release : 2018-03-06
Category : Computers
ISBN : 0321685997
From cloud computing to smartphones, today's highest-growth software environments depend on parallel programming. That's why parallel programming is increasingly viewed as a foundational job skill expected of every professional developer. However, parallel computing requires traditional application developers to think and work differently; that's why it's so often viewed as difficult. In Parallel Programming Patterns, three leading experts cut through the complexity, showing how to "think parallel," and offering practical solutions to many of the challenges you'll encounter. Drawing on immense experience programming parallel systems and teaching others to do so, the authors cover all this, and more: What you need to know about concurrency in parallel programs, parallel architecture, and the jargon of parallel computing How to find concurrency and decompose tasks and data How to select and work with algorithm and supporting structures How to work with implementation mechanisms for UE management, synchronization, and communication Getting started with OpenMP, MPI, and concurrent programming in Java
Author : Elliot Forbes
Publisher : Packt Publishing Ltd
Page : 352 pages
File Size : 48,6 Mb
Release : 2017-08-16
Category : Computers
ISBN : 9781787283169
Practically and deeply understand concurrency in Python to write efficient programs About This Book Build highly efficient, robust, and concurrent applications Work through practical examples that will help you address the challenges of writing concurrent code Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Who This Book Is For This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts. What You Will Learn Explore the concept of threading and multiprocessing in Python Understand concurrency with threads Manage exceptions in child threads Handle the hardest part in a concurrent system — shared resources Build concurrent systems with Communicating Sequential Processes (CSP) Maintain all concurrent systems and master them Apply reactive programming to build concurrent systems Use GPU to solve specific problems In Detail Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices. Style and approach This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.
Author : Sabih Jamal,Muhammad Waseem,Muhammad Aslam
Publisher : GRIN Verlag
Page : 6 pages
File Size : 50,7 Mb
Release : 2014-05-09
Category : Computers
ISBN : 9783656651710
Seminar paper from the year 2014 in the subject Computer Science - Theory, grade: A+, , language: English, abstract: Parallel computing attempts to solve many complex problems by using multiple computing resources simultaneously. This review paper is intended to address some of the major operating systems’ design issues for shared memory parallel computers like SMPs. Parallel computers can be classified according to the level at which the architecture supports parallelism, with multi-core and multi-processor computers The paper proceeds by specifying key design issues of operating system: like processes synchronization, memory management, communication, concurrency control, and scheduling in case of shared memory SMPs. It also elaborates some concerns of Linux scheduler, for shared memory SMPs parallel computing. The basic objective of the paper is to provide a quick overview of problems that may arise in designing parallel computing operating system.
Author : Alexander S. Becker
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 43,9 Mb
Release : 2008
Category : Parallel programming (Computer science)
ISBN : 1604562749
Concurrent computing is the concurrent (simultaneous) execution of multiple interacting computational tasks. These tasks may be implemented as separate programs, or as a set of processes or threads created by a single program. The tasks may also be executing on a single processor, several processors in close proximity, or distributed across a network. Concurrent computing is related to parallel computing, but focuses more on the interactions between tasks. Correct sequencing of the interactions or communications between different tasks, and the co-ordination of access to resources that are shared between tasks, are key concerns during the design of concurrent computing systems. This new book presents the latest research in the field from around the world.
Author : Bryan O'Sullivan,John Goerzen,Donald Bruce Stewart
Publisher : "O'Reilly Media, Inc."
Page : 714 pages
File Size : 54,8 Mb
Release : 2008-11-15
Category : Computers
ISBN : 9780596554309
This easy-to-use, fast-moving tutorial introduces you to functional programming with Haskell. You'll learn how to use Haskell in a variety of practical ways, from short scripts to large and demanding applications. Real World Haskell takes you through the basics of functional programming at a brisk pace, and then helps you increase your understanding of Haskell in real-world issues like I/O, performance, dealing with data, concurrency, and more as you move through each chapter.
Author : Gregory R. Andrews
Publisher : Addison Wesley
Page : 664 pages
File Size : 41,9 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015021817013
Mathematics of Computing -- Parallelism.
