Concurrent Parallel And Distributed Computing

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Concurrent, Parallel and Distributed Computing

Adele Kuzmiakova
Concurrent Parallel and Distributed Computing Book PDF

Author : Adele Kuzmiakova
Publisher : Arcler Press
Page : 0 pages
File Size : 53,7 Mb
Release : 2022-12
Category : Electronic
ISBN : 1774694484

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Concurrent, Parallel and Distributed Computing by Adele Kuzmiakova Pdf

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.

Concurrent and Distributed Computing in Java

Vijay K. Garg
Concurrent and Distributed Computing in Java Book PDF

Author : Vijay K. Garg
Publisher : John Wiley & Sons
Page : 331 pages
File Size : 43,6 Mb
Release : 2005-01-28
Category : Computers
ISBN : 9780471721260

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Concurrent and Distributed Computing in Java by Vijay K. Garg Pdf

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.

Topics in Parallel and Distributed Computing

Sushil K Prasad,Anshul Gupta,Arnold L Rosenberg,Alan Sussman,Charles C Weems
Topics in Parallel and Distributed Computing Book PDF

Author : Sushil K Prasad,Anshul Gupta,Arnold L Rosenberg,Alan Sussman,Charles C Weems
Publisher : Morgan Kaufmann
Page : 360 pages
File Size : 54,9 Mb
Release : 2015-09-16
Category : Computers
ISBN : 9780128039380

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Topics in Parallel and Distributed Computing by Sushil K Prasad,Anshul Gupta,Arnold L Rosenberg,Alan Sussman,Charles C Weems Pdf

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

Parallel and Concurrent Programming in Haskell

Simon Marlow
Parallel and Concurrent Programming in Haskell Book PDF

Author : Simon Marlow
Publisher : "O'Reilly Media, Inc."
Page : 322 pages
File Size : 40,9 Mb
Release : 2013-07-12
Category : Computers
ISBN : 9781449335922

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Parallel and Concurrent Programming in Haskell by Simon Marlow Pdf

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

Distributed Computing with Go

V.N. Nikhil Anurag
Distributed Computing with Go Book PDF

Author : V.N. Nikhil Anurag
Publisher : Packt Publishing Ltd
Page : 241 pages
File Size : 48,7 Mb
Release : 2018-02-28
Category : Computers
ISBN : 9781787127708

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Distributed Computing with Go by V.N. Nikhil Anurag Pdf

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features. Key Features This book provides enough concurrency theory to give you a contextual understanding of Go concurrency It gives weight to synchronous and asynchronous data streams in Golang web applications It makes Goroutines and Channels completely familiar and natural to Go developers Book Description Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula. What you will learn Gain proficiency with concurrency and parallelism in Go Learn how to test your application using Go's standard library Learn industry best practices with technologies such as REST, OpenAPI, Docker, and so on Design and build a distributed search engine Learn strategies on how to design a system for web scale Who this book is for This book is for developers who are familiar with the Golang syntax and have a good idea of how basic Go development works. It would be advantageous if you have been through a web application product cycle, although it’s not necessary.

Foundations of Multithreaded, Parallel, and Distributed Programming

Gregory R. Andrews
Foundations of Multithreaded Parallel and Distributed Programming Book PDF

Author : Gregory R. Andrews
Publisher : Pearson
Page : 696 pages
File Size : 47,8 Mb
Release : 2000
Category : Computers
ISBN : UOM:39015048516275

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Foundations of Multithreaded, Parallel, and Distributed Programming by Gregory R. Andrews Pdf

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

Handbook on Parallel and Distributed Processing

Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram
Handbook on Parallel and Distributed Processing Book PDF

Author : Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram
Publisher : Springer Science & Business Media
Page : 645 pages
File Size : 50,5 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662043035

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Handbook on Parallel and Distributed Processing by Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram Pdf

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.

Principles of Concurrent and Distributed Programming

M. Ben-Ari
Principles of Concurrent and Distributed Programming Book PDF

Author : M. Ben-Ari
Publisher : Pearson Education
Page : 392 pages
File Size : 52,8 Mb
Release : 2006
Category : Computers
ISBN : UOM:39015064708731

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Principles of Concurrent and Distributed Programming by M. Ben-Ari Pdf

Principles of Concurrent and Distributed Programming provides an introduction to concurrent programming focusing on general principles and not on specific systems. Software today is inherently concurrent or distributed - from event-based GUI designs to operating and real-time systems to Internet applications. This edition is an introduction to concurrency and examines the growing importance of concurrency constructs embedded in programming languages and of formal methods such as model checking.

PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS

BASU, S. K.
PARALLEL AND DISTRIBUTED COMPUTING ARCHITECTURES AND ALGORITHMS Book PDF

Author : BASU, S. K.
Publisher : PHI Learning Pvt. Ltd.
Page : 400 pages
File Size : 49,5 Mb
Release : 2016-01-02
Category : Computers
ISBN : 9788120352124

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PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS by BASU, S. K. Pdf

This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting. This book is meant for the senior level undergraduate and postgraduate students of computer science and engineering, and information technology. The book is also useful for the postgraduate students of computer science and computer application.

On Concurrent Programming

Fred B. Schneider
On Concurrent Programming Book PDF

Author : Fred B. Schneider
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 43,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461218302

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On Concurrent Programming by Fred B. Schneider Pdf

Here, one of the leading figures in the field provides a comprehensive survey of the subject, beginning with prepositional logic and concluding with concurrent programming. It is based on graduate courses taught at Cornell University and is designed for use as a graduate text. Professor Schneier emphasises the use of formal methods and assertional reasoning using notation and paradigms drawn from programming to drive the exposition, while exercises at the end of each chapter extend and illustrate the main themes covered. As a result, all those interested in studying concurrent computing will find this an invaluable approach to the subject.

Topics in Parallel and Distributed Computing

Sushil K. Prasad,Anshul Gupta,Arnold Rosenberg,Alan Sussman,Charles Weems
Topics in Parallel and Distributed Computing Book PDF

Author : Sushil K. Prasad,Anshul Gupta,Arnold Rosenberg,Alan Sussman,Charles Weems
Publisher : Springer
Page : 337 pages
File Size : 47,7 Mb
Release : 2018-09-29
Category : Computers
ISBN : 9783319931098

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Topics in Parallel and Distributed Computing by Sushil K. Prasad,Anshul Gupta,Arnold Rosenberg,Alan Sussman,Charles Weems Pdf

This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for parallel algorithms and programs, scalability, parallel performance, fault tolerance, and energy efficiency analysis. The chapters designed for students serve as supplemental textual material for early computing core courses, which students can use for learning and exercises. The illustrations, examples, and sequences of smaller steps to build larger concepts are also tools that could be inserted into existing instructor material. The chapters intended for instructors are written at a teaching level and serve as a rigorous reference to include learning goals, advice on presentation and use of the material, within early and advanced undergraduate courses. Since Parallel and Distributed Computing (PDC) now permeates most computing activities, imparting a broad-based skill set in PDC technology at various levels in the undergraduate educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines has become essential. This book and others in this series aim to address the need for lack of suitable textbook support for integrating PDC-related topics into undergraduate courses, especially in the early curriculum. The chapters are aligned with the curricular guidelines promulgated by the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing for CS and CE students and with the CS2013 ACM/IEEE Computer Science Curricula.

INTRODUCTION TO PARALLEL PROCESSING

M. Sasikumar,Dinesh Shikhare,Ravi P. Prakash
INTRODUCTION TO PARALLEL PROCESSING Book PDF

Author : M. Sasikumar,Dinesh Shikhare,Ravi P. Prakash
Publisher : PHI Learning Pvt. Ltd.
Page : 301 pages
File Size : 47,9 Mb
Release : 2014-09-02
Category : Computers
ISBN : 9788120350311

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INTRODUCTION TO PARALLEL PROCESSING by M. Sasikumar,Dinesh Shikhare,Ravi P. Prakash Pdf

Written with a straightforward and student-centred approach, this extensively revised, updated and enlarged edition presents a thorough coverage of the various aspects of parallel processing including parallel processing architectures, programmability issues, data dependency analysis, shared memory programming, thread-based implementation, distributed computing, algorithms, parallel programming languages, debugging, parallelism paradigms, distributed databases as well as distributed operating systems. The book, now in its second edition, not only provides sufficient practical exposure to the programming issues but also enables its readers to make realistic attempts at writing parallel programs using easily available software tools. With all the latest information incorporated and several key pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering. It also caters to the students pursuing master of computer application. What’s New to the Second Edition • A new chapter named Using Parallelism Effectively has been added covering a case study of parallelising a sorting program, and introducing commonly used parallelism models. • Sections describing the map-reduce model, top-500.org initiative, Indian efforts in supercomputing, OpenMP system for shared memory programming, etc. have been added. • Numerous sections have been updated with current information. • Several questions have been incorporated in the chapter-end exercises to guide students from examination and practice points of view.

Parallel Python with Dask

Tim Peters
Parallel Python with Dask Book PDF

Author : Tim Peters
Publisher : GitforGits
Page : 172 pages
File Size : 44,7 Mb
Release : 2023-10-19
Category : Computers
ISBN : 9788119177462

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Parallel Python with Dask by Tim Peters Pdf

Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists Dask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis. Across 10 chapters, you'll master Dask's fundamentals, architecture, and integration with Python's scientific computing ecosystem. Step-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads. You'll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets. Dedicated chapters explore scaling regression, classification, hyperparameter tuning, feature engineering, and more with clear examples. You'll also learn to tap into the power of GPUs with Dask, RAPIDS, and Google JAX for orders of magnitude speedups. This book places special emphasis on practical use cases related to scalability and distributed computing. You'll learn Dask patterns for cluster computing, managing resources efficiently, and robust data pipelines. The advanced chapters on DaskML and deep learning showcase how to build scalable models with PyTorch and TensorFlow. With this book, you'll gain practical skills to: Accelerate Python workloads with parallel mapping and task scheduling Speed up NumPy, Pandas, Scikit-Learn, PyTorch, and other libraries Build scalable machine learning pipelines for large datasets Leverage GPUs efficiently via Dask, RAPIDS and JAX Manage Dask clusters and workflows for distributed computing Streamline deep learning models with DaskML and DL frameworks Packed with hands-on examples and expert insights, this book provides the complete toolkit to harness Dask's capabilities. It will empower Python programmers, data scientists, and machine learning engineers to achieve faster workflows and operationalize parallel computing. Table of Content Introduction to Dask Dask Fundamentals Batch Data Parallel Processing with Dask Distributed Systems and Dask Advanced Dask: APIs and Building Blocks Dask with Pandas Dask with Scikit-learn Dask and PyTorch Dask with GPUs Scaling Machine Learning Projects with Dask

Concurrent Programming: Algorithms, Principles, and Foundations

Michel Raynal
Concurrent Programming Algorithms Principles and Foundations Book PDF

Author : Michel Raynal
Publisher : Springer Science & Business Media
Page : 530 pages
File Size : 53,7 Mb
Release : 2012-12-30
Category : Computers
ISBN : 9783642320279

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Concurrent Programming: Algorithms, Principles, and Foundations by Michel Raynal Pdf

This book is devoted to the most difficult part of concurrent programming, namely synchronization concepts, techniques and principles when the cooperating entities are asynchronous, communicate through a shared memory, and may experience failures. Synchronization is no longer a set of tricks but, due to research results in recent decades, it relies today on sane scientific foundations as explained in this book. In this book the author explains synchronization and the implementation of concurrent objects, presenting in a uniform and comprehensive way the major theoretical and practical results of the past 30 years. Among the key features of the book are a new look at lock-based synchronization (mutual exclusion, semaphores, monitors, path expressions); an introduction to the atomicity consistency criterion and its properties and a specific chapter on transactional memory; an introduction to mutex-freedom and associated progress conditions such as obstruction-freedom and wait-freedom; a presentation of Lamport's hierarchy of safe, regular and atomic registers and associated wait-free constructions; a description of numerous wait-free constructions of concurrent objects (queues, stacks, weak counters, snapshot objects, renaming objects, etc.); a presentation of the computability power of concurrent objects including the notions of universal construction, consensus number and the associated Herlihy's hierarchy; and a survey of failure detector-based constructions of consensus objects. The book is suitable for advanced undergraduate students and graduate students in computer science or computer engineering, graduate students in mathematics interested in the foundations of process synchronization, and practitioners and engineers who need to produce correct concurrent software. The reader should have a basic knowledge of algorithms and operating systems.

Resources in Parallel and Concurrent Systems

Anonim
Resources in Parallel and Concurrent Systems Book PDF

Author : Anonim
Publisher : Unknown
Page : 792 pages
File Size : 42,8 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015019487258

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Resources in Parallel and Concurrent Systems by Anonim Pdf

Computer Systems Organization -- Parallel architecture.