Concurrent Programming in ML
John H. Reppy
Reading Time
at 250 WPM5h 24m
The average reader, reading at a speed of 250 WPM, would take 5h 24m to read Concurrent Programming in ML.
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11
days at 30 min/day
324
total minutes
Concurrent Programming in ML
Published
September 17, 2007
Publisher
Cambridge University Press
Pages
324
ISBN-13
9780521714723
ISBN-10
0521714729
Description
"Concurrent Programming in ML presents the language Concurrent ML (CML), which supports the union of two important programming models: concurrent programming and functional programming. CML is an extension of the functional language Standard ML (SML) and is included as part of the Standard ML of New Jersey (SML/NJ) distribution. CML supports the programming of process communication and synchronization using a unique higher-order concurrent programming mechanism which allows programmers to define their own communication and synchronization abstractions."--Jacket. "The main focus of the book is on the practical use of concurrency to implement naturally concurrent applications. In addition to a tutorial introduction to programming in CML, this book presents three extended examples of using CML for systems programming: a parallel software build system, a simple concurrent window manager, and an implementation of distributed tuple spaces."--BOOK JACKET. "This book is aimed at programmers and professional developers who want to use CML, as well as students, faculty, and other researchers."--Jacket.
Subjects
Advances in Electronics and Electron Physics (Advances in Imaging and Electron Physics)
Perceptrons
Parallel iterative solvers in computational electronics
Distributed Systems
Fundamentals of computer organization and architecture
Parallel evolutionary computations
Frequently Asked Questions
How many pages are in Concurrent Programming in ML?
This edition of Concurrent Programming in ML has approximately 324 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Concurrent Programming in ML?
For most readers, Concurrent Programming in ML typically takes between 6h 45m and 4h 30m to complete. This is based on the book's length of approximately 81,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 24m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 81,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Concurrent Programming in ML?
The estimated word count for Concurrent Programming in ML is approximately 81,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Concurrent Programming in ML?
Concurrent Programming in ML was written by John H. Reppy.
When was Concurrent Programming in ML published?
The publication date for this specific edition is September 17, 2007. The original work may have been published on a different date.