Research Directions in Parallel Functional Programming - Kevin Hammond

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Research Directions in Parallel Functional Programming

By: Kevin Hammond (Editor), Greg Michaelson (Editor)

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524 Pages

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23.5 x 16.51 x 3.18

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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.

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Non-Fiction Computing & I.T.Computer Programming & Software Development Functional Programming Computer Science Computer Architecture & Logic Design Parallel Processing Systems Analysis & Design

Foreword
Overview
Introduction	p. 3
Foundations	p. 31
Programming Language Constructs	p. 63
Proof	p. 93
Realisations for Strict Languages	p. 121
Realisations for Non-Strict Languages	p. 149
Data Parallelism	p. 191
Cost Modelling	p. 207
Shaping Distributions	p. 219
Performance Monitoring	p. 233
Memory Performance of Dataflow Programs	p. 247
Portability of Performance in the BSP Model	p. 267
Algorithmic Skeletons	p. 289
Coordination Languages	p. 305
Parallel and Distributed Programming in Concurrent Clean	p. 323
Functional Process Modelling	p. 339
Validating Programs in Concurrent ML	p. 361
Explicit Parallelism	p. 379
Large Scale Functional Applications	p. 399
Summary	p. 427
Glossary	p. 465
Index	p. 481
Table of Contents provided by Blackwell. All Rights Reserved.

Research Directions in Parallel Functional Programming

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Paperback

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