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         Concurrent Programming:     more books (100)
  1. Concurrent Programming in Java(TM): Design Principles and Pattern (2nd Edition) by Doug Lea, 1999-11-04
  2. Concurrent Programming on Windows by Joe Duffy, 2008-11-07
  3. Principles of Concurrent and Distributed Programming (2nd Edition) by Mordechai Ben-Ari, 2006-03-06
  4. Concurrent Programming: The Java Programming Language by Stephen Hartley, 1998-03-26
  5. Synchronization Algorithms and Concurrent Programming by Gadi Taubenfeld, 2006-07-30
  6. Principles of Concurrent Programming (Prentice Hall Series in Computer Science) by M. Ben-Ari, 1982-08
  7. Concurrent Programming (Cambridge Computer Science Texts) by C. R. Snow, 1992-03-27
  8. Research Directions in Concurrent Object-Oriented Programming
  9. Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4 by Gaston Hillar, 2011-01-11
  10. Concurrent and Real-Time Programming in Java by Andrew Wellings, 2004-11-15
  11. Concurrent Object-Oriented Programming and Petri Nets: Advances in Petri Nets (Lecture Notes in Computer Science)
  12. Concurrent Programming in ML by John H. Reppy, 2007-09-17
  13. The JR Programming Language: Concurrent Programming in an Extended Java by Ronald A. Olsson, Aaron W. Keen, 2004-07-06
  14. Concurrent and Real-Time Programming in Ada by Alan Burns, Andy Wellings, 2007-07-16

1. Concurrent Programming In Java: Design Principles And Patterns
Excellent Java threads tutorial book from The Java Series by Doug Lea (Addison-Wesley). Covers programmin Category Computers Programming News and Media Books Threads......concurrent programming in Java tm Design principles and patterns Online Supplement. 1Concurrent ObjectOriented Programming. 1.1 Using Concurrency Constructs.
Concurrent Programming in Java tm
Design principles and patterns
Online Supplement
This is the supplement to the book Concurrent Programming in Java: Design Principles and Patterns by Doug Lea (ISBN 0-201-31009-0). Second edition published by Addison-Wesley , November 1999. Most supplement pages are grouped by sections of the second edition. These pages include notes, updates, follow-ups, and extended examples. They also contain the full Further Readings sections from the book, augmented with links to online resources. They are all constantly under construction.
0 General Resources

2. Concurrent Programming Using The Java Language
concurrent programming Using Java. The material shown here is covered in much more detail in the book, Concurrent
Concurrent Programming Using Java
The material shown here is covered in much more detail in the book, Concurrent Programming: The Java Programming Language , published by Oxford University Press in March 1998. An errata page is available. Users of the book can access the book's source code keyed by ``Program/Class'' number and ``Library Class'' number here
Table of Contents
Sequential Example Programs

A Simple Genetic Algorithm

Xtango Algorithm Animation
Laboratory Programming Exercises
This is an introduction to using the Java programming language in concurrent or multithreaded applications. The context is the process synchronization material and related concurrent programming in operating systems courses as opposed to software engineering. Topics covered are race conditions when threads share data, critical sections, mutual exclusion, semaphores, monitors, message passing, the rendezvous, remote procedure calls, distributed or network programming, and parallel processing. Solutions to the classical problems talked about in operating systems courses (the dining philosophers, the bounded buffer producers and consumers, and the database readers and writers) are shown in Java. Also shown is how to animate algorithms using the command set of the Xtango animation interpreter

3. Concurrent Programming
from the simulator given in M. BenAri, Principles of concurrent programming. The language was written in Ada 95 to
Concurrent Programming Textbooks Software
  • jBACI is a development environment learning concurrent programming by simulating concurrency. It uses the BACI (Ben-Ari Concurrency Interpreter) compilers developed by Bill Bynum and Tracy Camp, and a modified version of the portable interpreter written in Java by David Strite. This package can be directly installed on a Windows computer; for other systems, you will have to obtain the compilers directly from the BACI site
    Introduction to jBACI
    in Hebrew
    jBACI version 1.0
    jBACI version 1.0
    with source files.
  • SimAda, a concurrency simulator written in Ada 95.
    Download: software documentation (Yakov Persky's thesis).
  • DPLab , an educational environment for distributed programming.
  • JADE , an implementation of the Ada distributed systems annex.
  • See the page Program visualization and animation for Java programs for executing for distributed algorithms.

4. Concurrent Programming For OS Using The SR Language
UNDER CONSTRUCTION! concurrent programming for Operating Systems Classes Using SR. Alaboratory manual for operating systems and concurrent programming classes.
Concurrent Programming for Operating Systems Classes Using SR
In undergraduate operating systems classes, students learn about concurrent process synchronization, including such things as shared data, race conditions, critical sections, mutual exclusion, the test-and-set hardware instruction, semaphores, and monitors. They also study interprocess communication, message passing, the rendezvous, and remote procedure calls. Solutions to classical problems, such as the dining philosophers, bounded buffer producers and consumers, and readers and writers, are presented using the above concepts. However, students need to write programs in a language that provides facilities for concurrent programming in order to appreciate fully the above concepts. These notes describe the SR language, which is free, runs on UNIX platforms, and supports the above constructs, and discusses its successful use as an environment for concurrent programming in an undergraduate operating systems course.
Table of Contents
Introduction Processes The SR Programming Language
Laboratory ...
SR Runs on
OS: UNIX, Linux

5. Chapter 15
chapter introduces you to the fascinating field of concurrent programming, which is the writing of concurrent programs.
This chapter is taken from M.B. Feldman, Software Construction and Data Structures with Ada 95. Questions and comments to
Chapter 15 Introduction to Concurrent Programming
What Is Concurrent Programming? Ada Structures: Task Types and Task Objects Ada Structures: Protected Types and Protected Objects Data Structures: The Task as a Data Structure ... Application: The Dining Philosophers Each program we have seen so far has been a sequential, or single-threaded, one; that is, it has consisted of a series of steps that are executed in sequence, one after the other. In this chapter, we introduce the idea of a concurrent, or multithreaded, program, one in which several things can happenor at least appear to happensimultaneously. Concurrent actions are really part of most interesting programs. For example, a time-shared operating system must deal with a number of human users working simultaneously at their terminals. Further, many real-time applications, especially those controlling physical processes, are composed of concurrent program segments, each responsible for its own physical subsystem. Finally, the world is concurrent, filled with people doing different things all at the same time, and a program that would model that world is best seen as comprising concurrent program segments. This chapter introduces you to the fascinating field of concurrent programming, which is the writing of concurrent programs. Ada provides an especially rich and interesting set of structures for concurrent programming; this chapter presents some of these structures. In particular, we introduce Ada task types and protected types. A task object is an active program, carrying on its activities independently of other tasks and interacting with others only when necessary. A protected object is passive; its purpose is to encapsulate a data structure and provide services to tasks on request, allowing many tasks to view the structure simultaneously but authorizing only one task at a time to modify the structure.

6. 308-623: Concurrent Programming Languages
308623A concurrent programming Languages. McGill University
308-623A: Concurrent Programming Languages
McGill University
Time and Place Monday, Wednesday: 15:05 - 16:25
McConnell Eng 103
Clark Verbrugge
Office: McConnell, room 230
Office hours (Fall term): Monday 13:00-14:30, Wednesday 8:30-10:00, or by appointment
Phone: 398-2411
Students should have a solid understanding of basic data structures (COMP 251), operating systems concepts (COMP 310) and programming languages (COMP 302). There is a non-trivial programming requirement; ability to program in C or Java will be required.
Supplementary text: Multithreaded Programming with Java Technology by Lewis and Berg or Threadtime: The Multithreaded Programming Guide by Norton and Dipasquale . These are optional texts with additional information on multithreaded programming. Each of these supplementary texts covers both Java and POSIX (Pthreads), with an emphasis as indicated by their title. Class examples will be primarily in Java, but unless otherwise stated students may complete assignments using either environment/language.
There is no required text for this course. Lecture notes will be supplemented by handouts.

7. Concurrent Programming In Java: Tutorials And Design Patterns
concurrent programming in Java. This page once contained the book ConcurrentProgramming in Java Design Principles and Patterns. Most of
Concurrent Programming in Java
This page once contained drafts of material that was collected, revised, corrected, expanded, and reorganized into the book: Concurrent Programming in Java: Design Principles and Patterns Most of the entries have been reorganized into parts of the online supplement to the book which you can read instead. Doug Lea Last modified: Wed Mar 24 08:06:54 EST 1999

8. Concurrent Programming In Java: Tutorials And Design Patterns
concurrent programming in Java. This page once contained drafts of material that was collected, revised, corrected,
Concurrent Programming in Java
This page once contained drafts of material that was collected, revised, corrected, expanded, and reorganized into the book: Concurrent Programming in Java: Design Principles and Patterns Most of the entries have been reorganized into parts of the online supplement to the book which you can read instead. Doug Lea Last modified: Wed Mar 24 08:06:54 EST 1999

9. Concurrent Programming In Java: Design Principles And Patterns
concurrent programming IN JAVA DESIGN PRINCIPLES AND PATTERNS. SecondEdition, Published 11/99 In this second edition, you will
Second Edition, Published 11/99 In this second edition, you will find complete coverage of concurrent programming using the Java TM 2 platform and new or expanded coverage of:
  • Memory model
  • Cancellation
  • Portable parallel programming
  • Utility classes for concurrency control
The Java platform provides a broad and powerful set of APIs, tools, and technologies. One of its most powerful capabilities is the built-in support for threads. This makes concurrent programming an attractive, yet challenging option for programmers using the Java programming language. This book shows readers how to use the Java platform's threading model more precisely by helping them to understand the patterns and tradeoffs associated with concurrent programming. You will learn how to initiate, control, and coordinate concurrent activities using the class java.lang.Thread, the keywords synchronized and volatile, and the methods wait, notify, and notifyAll. In addition, you will find detailed coverage of all aspects of concurrent programming, including such topics as confinement and synchronization, deadlocks and conflicts, state-dependent action control, a synchronous message passing and control flow, coordinated interaction, and how to structure web-based and computational services. The book targets intermediate to advanced programmers interested in mastering the complexities of concurrent programming. Taking a design pattern approach, the book offers standard design techniques for creating and implementing components that solve common concurrent programming challenges. The numerous code examples throughout help clarify the subtleties of the concurrent programming concepts discussed.

10. Concurrent Programming In Early Courses
concurrent programming CAN be Introduced into the LowerLevel UndergraduateCurriculum. Michael B. Feldman and Bruce D. Bachus School
Concurrent Programming CAN be Introduced into the Lower-Level Undergraduate Curriculum Michael B. Feldman and Bruce D. Bachus
School of Engineering and Applied Science
Department of Computer Science
The George Washington University
Washington, DC 20052 A later version of this paper appeared in the Second Annual Conference on Intergrating Technology into Computer Science Education, Uppsala, Sweden, June 1997. Abstract 1 Introduction ACM Curriculum 91 recommended introducing distributed and parallel programming constructs into the undergraduate curriculum Unfortunately, ACM Curriculum 91 did not specify when, within the confines of the undergraduate curriculum, we should introduce these concurrent/parallel constructs. 2 Novice Programmer Definition The literature is inconsistent in defining the term novice or beginner programmer. Our experiment dealt specifically with novice programmers those which we would typically enroll in lower-level undergraduate curriculum. The related curriculum for the definition of a novice programmer would be the lower-level undergraduate curriculum .. We define the term novice (or beginner) as a subject who

11. Tempo: A Declarative Concurrent Programming Language
Based on classical first-order logic; improves on usual concurrent logic languages (eg, Parlog) by Category Computers Programming Languages Tempo...... Tempo a declarative concurrent programming language. Abstract. Tempo is a declarativeconcurrent programming language based on classical firstorder logic.
Bristol CS Index Research Publications
Tempo: a declarative concurrent programming language
Steve Gregory and Rafael Ramirez. In Proceedings of the 12th International Conference on Logic Programming , pages 515529, Cambridge, Mass., June 1995. More behind this link .. MIT Press
Tempo is a declarative concurrent programming language based on classical first-order logic. It improves on traditional concurrent logic programming languages (e.g., Parlog) by explicitly specifying aspects of the behaviour of concurrent programs, namely their safety properties. This provides great advantages in writing concurrent programs and manipulating them while preserving correctness. The language has a procedural interpretation that allows the specification to be executed, also concurrently. Tempo is sufficiently high-level to simulate practical concurrent programming paradigms, and can act as a common framework in which algorithms for a variety of paradigms may be expressed, compared, and manipulated. BibTeX entry
Other publications
Steve Gregory

presents a new approach to concurrent programming making it possible to program concurrent systems (in particular
Developers Executives Educators Products ... Contact Us
Software Construction,
second edition:
or: concurrency for the rest of us
Bertrand Meyer, ISE
This text is taken from chapter 25 of the book Object-Oriented Software Construction, second edition , Prentice Hall, 1997. For this particular chapter the version used is in fact not the final one, but a draft (close to the final version). It was made available a few months ago following discussions of concurrency on Usenet. We apologize for the obvious formatting deficiencies (margin notes appearing as improperly clipped inserts, figures sometimes clipped too). This text is only intended to give an idea of the actual book, which is of course properly formatted, using two colors and many figures; the accompanying CD has everything under the same format as the book, with all cross-references transformed into clickable hyperlinks.
    chapter table of contents
This is an earlier draft of chapter 28 of the Object-Oriented Software Construction, second edition

13. Concurrent Programming Research Group
Go to IIT Homepage,
Concur Group
aspect-oriented models Illinois Institute of Technology 3300 South Federal Street, Chicago, IL 60616-3793 Tel 312 567-3000 Updated on November 12, 2002

14. Concurrent Programming Research Group
Following is the list of courses that are recommended for people withinterest in concurrent programming CS 425 Database Organization
Following is the list of courses that are recommended for people with interest in concurrent programming : CS 425 Database Organization
Overview of database architectures, including the Relational, Hierarchical, Network, and Object Models. Database interfaces, including the SQL query language. Database design using the Entity-Relationship Model. Issues such as security, integrity, and query optimization. Prerequisite: CS 106 or CS 200. (3-0-3) ( T CS 450 Operating Systems I
Introduction to operating system concepts—including system organization for uniprocessors and multiprocessors, scheduling algorithms, process management, deadlocks, paging and segmentation, files and protection, and process coordination and communication. Prerequisites: (CS 331 and CS 350) or (CS 331 and ECE 242) or (CS 401 and CS 402). (3-0-3) ( T CS 536 Science of Programming
A scientific application of theory and principles to computer programming. Proving properties of programs, semantic analysis of languages, simultaneous development of a program and its proof. Prerequisite: CS 331 or consent of instructor. (3-0-3)

15. Results
for an IBM PC or compatible has been developed to provide students with an educationalopportunity for handson experience with concurrent programming concepts D.1.3 CCS&coll=portal&dl=ACM

16. Results
Search Results. Search Results for concurrent programming structures IN CCS Found 262 of 105,850 searched. Rerun within the Portal programming structures C

17. Distributed, Parallel, And Concurrent Programming
Distributed, Parallel, and concurrent programming. Scheme Dialects for DistributedProgramming. Extension of Scheme for Parallel and concurrent programming.
Distributed, Parallel, and Concurrent Programming
Scheme Dialects for Distributed Programming
  • Matthew Fuchs. "Dreme: for Life in the Net". PhD. Thesis. New York University. September 1995. Available online: ps pdf Alan Bawden. "Implementing Distributed Systems Using Linear Naming". PhD. Thesis. MIT AI Lab Technical Report AITR-1627. March 1993. Available online: ps Luc Moreau, David DeRoure, and Ian Foster. "NeXeme: a Distributed Scheme Based on Nexus". Third International Europar Conference (EURO-PAR'97) . volume 1300 of Lecture Notes in Computer Science. August 1997. Available online: ps Luc Moreau and Christian Queinnec. "Design and Semantics of Quantum: a Language to Control Resource Consumption in Distributed Computing". Usenix Conference on Domain-Specific Languages (DSL'97) . October 1997. Available online: ps Luc Moreau. "NeXeme: A Distributed Scheme Based on Nexus (Reference Manual and User's Guide)". University of Southampton. Technical Report M97/8. November 1997. Available online: ps Christian Queinnec. "DMeroon A Distributed Class-based Causally-Coherent Data Model - General documentation". Rapport LIP6 1998/039. 1998. Available online: ps Christian Queinnec. "Distributed generic functions".

18. Concurrent Programming With Java Lab-Manual
Lab. manual by Astha Ekadiyanto.Category Computers Programming Tutorials...... concurrent programming with Java Lab Manual, Version 1.0, F. AsthaEkadiyanto, 2002. Contents Next Previous. Contents. Java
Free Web site hosting -
Concurrent Programming with Java
Lab Manual, Version 1.0, F. Astha Ekadiyanto [Contents] [ Next ] [Previous]
"Java is a simple, object oriented, distributed, interpreted, robust, secure, architecture neutral, portable, high-performance, multithreaded and dynamic language" (The Java Language: A White Paper, Sun Microsystems).
Since this manual is at its first version, there may be a lot of modifications. Please check the web site for the most uptodate composition. For Java Beginners, please at least read about the Java Language Tutorial before starting with this Lab. Besides the Tutorial, it is important for you not to miss Part 1 of this Lab that will cover the Object Oriented Programming Practice.
Part 1:
  • Introduction to Lab. Environment and Object Orientation ( Nov 22, 2002) Building an Application - Tailoring Classes ( Nov 29, 2002) Building an Applet - Graphical Representation (Dec 6, 2002)
  • Part 2:
  • Introduction to threads and how to construct threadable classes (Jan 10, 2003) Challenge Lab. Work
  • 19. Concurrent Programming
    Previous Contents Next Chapter 1 concurrent programming. Joinpattern synchronizationexpresses many programming paradigms, either concurrent or sequential.
    Chapter 1 Concurrent programming
    This part of the manual is a tutorial introduction to the join-calculus. This chapter presents small, local, examples. Chapter deals with the distributed features.
    1.1 Conventions
    Examples are given as join-calculus source, followed by the output of the compiler when enabled to print types. For instance, here is the definition of a simple top-level value binding: # let x = 1 # ;; val x : int An example may span over several programs chunks. Here is another binding: # let y = x+1 # ;; val y : int In the end, the output generated by the execution of the example is shown: # spawn echo(y) # ;; Therefore, to execute the example above, it suffices to concatenate the three source chunks above in some file a.j (erasing the `` '' characters), then to compile a.j by the command jcc -i a.j , and finally to run the produced code by the command ./a.out . (Option -i enables the output of inferred types).
    1.2 Basics
    Join-calculus programs are made of processes and expressions . Roughly, processes are executed asynchronously and produce no result, whereas expressions are evaluated synchronously and their evaluation produces values. Processes communicate by sending messages on channels or port names. Messages carried by channels are made of zero or more values and channels are values themselves. By contrast with other process calculi (such as the pi-calculus and its derived programming language Pict), channels and the processes that listen on them are defined by a single language construct. This feature allows considering (and implementing) channels as functions, when channels are used as functions.

    20. Concurrent Programming
    concurrent programming. by Alan Burns and Geoff Davies This book provides a handsonintroduction to concurrent programming principles and techniques.
    Concurrent Programming
    by Alan Burns and Geoff Davies Addison Wesley ISBN 201 54417-2 Pbk 424 pages Concurrent programming plays a vital role in systems where many events appear to occur simultaneously, such as operating systems, databases and real-time systems. This book provides a hands-on introduction to concurrent programming principles and techniques. By using Pascal-FC , a Functionally Concurrent extension of Pascal, the authors illustrate a variety of language models and concurrency primitives without requiring readers to learn many different languages. Pascal-FC is available (free). It enables programs to be written that make use of semaphores, monitors, CSP rendezvous, Ada rendezvous and Ada 95 protected types (resources). The publishers information on the book is available Implementations of Pascal-FC are freely available

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