Author : John H. Reppy
Publisher : Cambridge University Press
Page : 328 pages
File Size : 41,38 MB
Release : 1999-08-13
Category : Computers
ISBN : 0521480892
A 'how-to' book for programmers and researchers interested in practical applications of Concurrent ML.
Author : Ron Bekkerman
Publisher : Cambridge University Press
Page : 493 pages
File Size : 26,39 MB
Release : 2012
Category : Computers
ISBN : 0521192242
This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Author : Flemming Nielson
Publisher : Springer Science & Business Media
Page : 262 pages
File Size : 32,81 MB
Release : 2012-12-06
Category : Computers
ISBN : 1461222745
Both functional and concurrent programming are relatively new paradigms with great promise. In this book, a survey is provided of extensions to Standard ML, one of the most widely used functional languages, with new primitives for concurrent programming. Computer scientists and graduate students will find this a valuable guide to this topic.
Author : John H. Reppy
Publisher : Cambridge University Press
Page : 328 pages
File Size : 39,68 MB
Release : 1999-08-13
Category : Computers
ISBN : 0521480892
A 'how-to' book for programmers and researchers interested in practical applications of Concurrent ML.
Author : Joe Armstrong
Publisher :
Page : 520 pages
File Size : 24,95 MB
Release : 2013
Category : Computers
ISBN : 9781937785536
Describes how to build parallel, distributed systems using the ERLANG programming language.
Author : Kevin Hammond
Publisher : Springer Science & Business Media
Page : 507 pages
File Size : 29,4 MB
Release : 2012-12-06
Category : Computers
ISBN : 1447108418
Programming is hard. Building a large program is like constructing a steam locomotive through a hole the size of a postage stamp. An artefact that is the fruit of hundreds of person-years is only ever seen by anyone through a lOO-line window. In some ways it is astonishing that such large systems work at all. But parallel programming is much, much harder. There are so many more things to go wrong. Debugging is a nightmare. A bug that shows up on one run may never happen when you are looking for it - but unfailingly returns as soon as your attention moves elsewhere. A large fraction of the program's code can be made up of marshalling and coordination algorithms. The core application can easily be obscured by a maze of plumbing. Functional programming is a radical, elegant, high-level attack on the programming problem. Radical, because it dramatically eschews side-effects; elegant, because of its close connection with mathematics; high-level, be cause you can say a lot in one line. But functional programming is definitely not (yet) mainstream. That's the trouble with radical approaches: it's hard for them to break through and become mainstream. But that doesn't make functional programming any less fun, and it has turned out to be a won derful laboratory for rich type systems, automatic garbage collection, object models, and other stuff that has made the jump into the mainstream.
Author : Michael McCool
Publisher : Elsevier
Page : 434 pages
File Size : 26,14 MB
Release : 2012-06-25
Category : Computers
ISBN : 0124159931
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
Author : Peter E. Lauer
Publisher : Springer Science & Business Media
Page : 424 pages
File Size : 30,22 MB
Release : 1993-06-16
Category : Computers
ISBN : 9783540568834
This collection of papers arose from a series of lectures for workers in computer science and other disciplines. The lectures were intended to familiarize them with some of the most exciting advanced computer based systems for the conceptualization, design, implementation, simulation, and logical analysis of applications in these disciplines. The collection presents some strong motivational points for the use of theory based systems in the areas of functional programming, concurrency, simulation, and automated reasoning, highlighting some of their advantages and disadvantages relative to conventional systems. The papers are mostly the work of individuals who were among the originators of the systemspresented. The volume is intended as a contribution to narrowing the learning gap facing conventional computer users when they wish to use advanced theory based systems. The papers are meant for a wide audience and should not require great mathematical sophistication for their comprehension. The papers contain numerous references for those wishing to pursue a topic in greater depth.
Author : Riccardo Terrell
Publisher : Simon and Schuster
Page : 852 pages
File Size : 38,6 MB
Release : 2018-06-05
Category : Computers
ISBN : 1638355649
Summary Concurrency in .NET teaches you how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers, architects, and passionate computer programmers who are interested in writing code with improved speed and effectiveness by adopting a declarative and pain-free programming style. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Unlock the incredible performance built into your multi-processor machines. Concurrent applications run faster because they spread work across processor cores, performing several tasks at the same time. Modern tools and techniques on the .NET platform, including parallel LINQ, functional programming, asynchronous programming, and the Task Parallel Library, offer powerful alternatives to traditional thread-based concurrency. About the Book Concurrency in .NET teaches you to write code that delivers the speed you need for performance-sensitive applications. Featuring examples in both C# and F#, this book guides you through concurrent and parallel designs that emphasize functional programming in theory and practice. You'll start with the foundations of concurrency and master essential techniques and design practices to optimize code running on modern multiprocessor systems. What's Inside The most important concurrency abstractions Employing the agent programming model Implementing real-time event-stream processing Executing unbounded asynchronous operations Best concurrent practices and patterns that apply to all platforms About the Reader For readers skilled with C# or F#. About the Book Riccardo Terrell is a seasoned software engineer and Microsoft MVP who is passionate about functional programming. He has over 20 years' experience delivering cost-effective technology solutions in a competitive business environment. Table of Contents PART 1 - Benefits of functional programming applicable to concurrent programs Functional concurrency foundations Functional programming techniques for concurrency Functional data structures and immutability PART 2 - How to approach the different parts of a concurrent program The basics of processing big data: data parallelism, part 1 PLINQ and MapReduce: data parallelism, part 2 Real-time event streams: functional reactive programming Task-based functional parallelism Task asynchronicity for the win Asynchronous functional programming in F# Functional combinators for fluent concurrent programming Applying reactive programming everywhere with agents Parallel workflow and agent programming with TPL Dataflow PART 3 - Modern patterns of concurrent programming applied Recipes and design patterns for successful concurrent programming Building a scalable mobile app with concurrent functional programming
Author : Robin Milner
Publisher : MIT Press
Page : 132 pages
File Size : 43,82 MB
Release : 1997
Category : Computers
ISBN : 9780262631815
Software -- Programming Languages.
