Geometry.Net - Basic_C: Concurrent Programming

ACCU Reviews: Concurrent Programming, The Java Programming Lang
Book Review concurrent programming, The Java Programming Language by S HartleyRecommended. The main thrust of this book is concurrent programming.
http://www.accu.org/bookreviews/public/reviews/c/c001737.htm

Extractions: Recommended ISBN: Publisher: OUP Pages: Price: Categories: java parallel systems Reviewed by Francis Glassborow in C Vu 11-1 (Nov 1998) The main thrust of this book is Concurrent programming. The Java aspect is simply that you need some language to use. The author gives you a quick overview of Java in the early chapters, possibly enough for the experienced programmer who has never learnt Java. Enough that is if you want to learn about concurrent programming, not if you want to program in Java. The problems of concurrent programming are rapidly becoming those of most programmers. Even if you never intend to write a multi-threaded program and never intend to deal with client-server applications your code may well finish up in systems where these and other aspects of concurrent programming are rife. You need to develop a coding style that will survive in a multi-tasking or multi-threading context. If you still think that static (compile time) data is acceptable you need to put in some study. For example, how often have you seen C++ programmers provide static data members for their classes without any caveats? Pick up almost any magazine for programmers and you will find numerous examples of coding idioms that simply assume that there will be a single thread of execution. Unlike earlier languages Java has some (all-be-it primitive) support for multiple threads of execution. This makes it a good language to use while learning about such issues as 'race conditions', 'dead locks', 'condition synchronisation' etc.
The SR Programming Language
SR has been used at a number of universities and labs for course workand research projects involving concurrent programming. It
http://www.cs.arizona.edu/sr/

Extractions: SR (Synchronizing Resources) is a language for writing concurrent programs. The main language constructs are resources and operations. Resources encapsulate processes and variables they share; operations provide the primary mechanism for process interaction. SR provides a novel integration of the mechanisms for invoking and servicing operations. Consequently, all of local and remote procedure call, rendezvous, message passing, dynamic process creation, multicast, and semaphores are supported. SR also supports shared global variables and operations. SR has been used at a number of universities and labs for course work and research projects involving concurrent programming. It has been used in concurrent programming courses to reinforce concepts with small programming projects and with larger projects such as experiments with parallel algorithms, replicated databases, distributed simulations, and parts of distributed operating systems such as file systems and command interpreters. SR has also been used as a tool in several masters theses and doctoral dissertations to conduct experiments in parallel and distributed programming and to implement larger systems such as a system for mixed language programming, one for distributed implementation of graph algorithms, experiments with load balancing algorithms, and experiments with upcall program structures. SR is the predecessor to the MPD programming language, which provides the same capabilities using the syntax described in
CS375 Concurrent Programming
http://www.cs.rhbnc.ac.uk/undergrad/third_year/CS375/info.html
3.2 What Is Concurrent Programming?
3.2 What is concurrent programming? Until now, we have the model and view.Concurrent computation makes programming much more complex.
http://www.cs.rice.edu/~cork/teachjava/2002/notes/current/node101.html

Extractions: Next: 3.2.0.1 Synchronized methods and Up: 3. Graphical User Interfaces Previous: 3.1.4 How to Write Until now, we have been exclusively concerned with sequential programs that execute a single stream of operations. Even the GUI programming in the previous section avoided concurrent execution by terminating the controller as soon as it finished setting up the model and view. Concurrent computation makes programming much more complex. In this section, we will explore the extra problems posed by concurrency and outline some strategies for managing them. In a concurrent program, several streams of operations may execute concurrently. Each stream of operations executes as it would in a sequential program except for the fact that streams can communicate and interfere with one another . Each such sequence of instructions is called a thread . For this reason, sequential programs are often called single-threaded programs. When a multi-threaded program executes, the operations in its various threads are interleaved in an unpredictable order subject to the constraints imposed by explicit synchronization operations that may be embedded in the code. The operations for each stream are strictly ordered, but the interleaving of operations from a collection of streams is undetermined and depends on the vagaries of a particular execution of the program. One stream may run very fast while another does not run at all. In the absence of fairness guarantees (discussed below), a given thread can starve unless it is the only ``runnable'' thread.
COMP 421: Operating Systems And Concurrent Programming
COMP 421 Operating Systems and concurrent programming. This course introducesstudents to the principles, design, and implementation of operating systems.
http://www.cs.rice.edu/~druschel/comp421/

Extractions: This course introduces students to the principles, design, and implementation of operating systems. The lectures focus primarily on the principles and design of operating systems; a course project exposes students to the implementation aspects of operating systems, and large software systems in general. The main concepts taught in this class include (1) concurrency and synchronization; (2) the principle of locality and caching as a technique that exploits locality; (3) layering as a technique to control complexity and to achieve interoperability and portability; (4) virtualization and scheduling of resources; and, (5) building reliable services from unreliable components. The project is to implement a simple operating system; it is based on the Nachos system from the University of California, Berkeley. The project has four stages: (1) thread management and synchronization, (2) multiprogramming, (3) virtual memory, and (4) filing services. Each stage builds on services that students implemented in previous stages of the project. To make it possible to complete the project in one semester, some code is provided that implements a subset of the required functionality. Students are required to make major extensions to the existing design and implementation, adding missing functionality and improving performance. In stages 2, 3, and 4, students are also required to evaluate their design choices experimentally.
Notes On Java Concurrent Programming
This page contains some random notes about concurrent programming inJava, that come from my personal experience as a Java developer.
http://rgarciasuarez.free.fr/java/jcpnotes.html

Extractions: This page contains some random notes about concurrent programming in Java, that come from my personal experience as a Java developer. Its goal is to explain some basic but sometimes unclear notions. It may be used as a quick reference. These notes were written with Java 1.2 in mind. Some details may have changed in recent versions. I'll have to check. Contents: Each Java object instance has a distinct associated lock (sometimes also called monitor ). This includes Class objects and arrays, as they are also objects. Threads can own locks; a thread can own any number of locks, but a lock can be owned by at most one thread at a time . This is used to implement mutual exclusion between threads. A thread becomes the owner of a lock by executing a synchronized block that synchronizes on that lock. This ensures mutual exclusion of different executions by concurrent threads of all blocks that synchronize on the same lock. Read the previous sentence again. Constructors cannot be synchronized (although they may call synchronized methods). Constructors cannot either have synchronized blocks that implicitly synchronize on
Chapter 11--Safe Concurrent Programming With Robots Robots
11 Safe concurrent programming with Robots. In this Chapter we discuss concurrentprogramming again and show additional problems and how to overcome them.
http://csis.pace.edu/~bergin/KarelJava2ed/ch11/

Extractions: A Gentle Introduction to the Art of Object-Oriented Programming in Java 11 Safe Concurrent Programming with Robots In this Chapter we discuss concurrent programming again and show additional problems and how to overcome them. Suppose that we have two robots Karel and Carol, each running in its own thread. Suppose that Karel sends a message to Carol. If we give the name KT to the thread that is executing Karel and CT to the one executing Carol, then the question arises which thread executes the method named in the message. The answer may be surprising at first, but understanding this is very important. Threads are a concept totally unrelated to object-orientation and therefore unrelated to our class structure. Threads execute code, not robots. We, in effect, have two computers, one that we first hand to Karel and the other to Carol. Karel uses its computer to execute the code of its run method, and Carol does likewise. When we send any message, the computer follows the message path, so that the receiver of the message has a computer on which to execute the named method. When the method returns, the computer is passed back to the sender, along with any result. This means that when Karel sends Carol a message, there are two computers simultaneously executing Carol's code. One (CT) is perhaps executing Carol's run method, and the other (KT) is executing some method of Carol's. However, from Carol's run method we may call, for example, other methods of Carol. This implies that we could have two computers executing the same method of Carol at the same time. If that method manipulates Carol's instance variables we can have serious problems, just as we had serious beeper problems in Chapter 8.
The JR Concurrent Programming Language
The JR concurrent programming Language. The JR programming languageextends Java to provide a rich concurrency model, based on that
http://www.cs.ucdavis.edu/~olsson/research/jr/

Extractions: The JR programming language extends Java to provide a rich concurrency model, based on that of the SR concurrent programming language . JR provides dynamic remote virtual machine creation, dynamic remote object creation, remote method invocation, asynchronous communication, rendezvous, and dynamic process creation. JR takes a novel object-oriented approach to synchronization, which leads to more flexible programming of concurrent applications like servers. JR programs are written in an extended Java and then translated into standard Java programs. The JR run-time support system is also written in standard Java. The JR distribution includes the JR translator; the JR virtual machine (JRVM); the JR verification tool and test suite (jrv, for checking proper functioning of the JR implementation); documentation; numerous JR example programs; and preprocessors that convert other concurrency notations (CCRs, monitors, and CSP) into JR.
Addison-Wesley
concurrent programming Java Design Principles and Patterns. One of the mostimportant features of Java is its support for concurrent programming.
http://www.awl.com/cseng/titles/0-201-69581-2

Extractions: -Bill Joy, Co-Founder and Vice President of Research, Sun Microsystems One of Java's most powerful capabilities is its built-in support for threads, making concurrent programming a viable option for Java development. As a serious Java programmer interested in using this rich language to the fullest, a mastery of thread programming will significantly enhance your ability to create high-performance Java applications. This book provides you with detailed information and expert techniques that will enable you to exploit the many advantages of concurrent programming and create multi-threaded Java applications that are more responsive to user demands, faster, and more easily controlled. Taking a design pattern approach, the book offers numerous standard design techniques for creating and implementing Java structures that solve common concurrent programming challenges.
CS 424 Foundations Of Concurrent Programming
Computer Science 424 Foundations of concurrent programming Languages andSystems. 18, concurrent programming languages. 6, Formal reasoning methods.
http://www.cs.uiuc.edu/education/courses/cs424.html

Extractions: Foundations of Concurrent Programming Languages and Systems Introduction to the theory of concurrency and concurrent programming languages. Topics include formal models of concurrent computation such as process algebras, nets, and actors; high-level concurrent programming languages and their operational semantics; and methods for reasoning about correctness and complexity of concurrent programs.
InformIT Online Books > Concurrent Programming In Java™: Design Principles
, Table of Contents. concurrent programming in Java Design Principlesand Patterns, Second Edition. By Doug Lea. Publisher, Addison Wesley.
http://safari.informit.com/main.asp?bookname=0201310090
Concurrent Programming - Wikipedia
concurrent programming. From Wikipedia, the free encyclopedia. Pioneers in thefield of concurrent programming include Edsger Dijkstra and CAR Hoare.
http://www.wikipedia.org/wiki/Concurrent_programming

Extractions: Main Page Recent changes Edit this page Older versions Special pages Set my user preferences My watchlist Recently updated pages Upload image files Image list Registered users Site statistics Random article Orphaned articles Orphaned images Popular articles Most wanted articles Short articles Long articles Newly created articles Interlanguage links All pages by title Blocked IP addresses Maintenance page External book sources Printable version Talk Log in Help From Wikipedia, the free encyclopedia. Concurrent programming is the technique of programming operations which operate (either actually or apparently) concurrently, either within a single computer, or across a number of systems. Pioneers in the field of concurrent programming include Edsger Dijkstra and C. A. R. Hoare Topics in concurrent programming include: See also:
Wiley Canada :: Concurrent Programming
Table of Contents, Special Topics, concurrent programming André Schiper ISBN 0470-21346-9 Hardcover234 Pages July 1989 US $74.99 Add to Cart.
http://www.wileycanada.com/cda/product/0,,0470213469|desc|2957,00.html

Extractions: This book is an accessible introduction to the theory and practice of concurrent programming and addresses problems of the sort where several simultaneous activities compete for limited resources. Exposition is supported by realistic examples. Techniques developed include locks, semaphores, monitors, and rendez-vous. Three languages especially adapted to concurrent programmingPortal, Modula-2, Adaare used throughout, and their relative advantages and disadvantages discussed. Contains a program for a substantial problemthe control of a digital clock and chronometer is developed in full detail in each of the three languages. Includes numerous examples.
NEP - Concurrent Programming Models
Prev Up Next NEP Nebenläufige Programmiermodelle concurrent programming Models.Main Home Page. Projects. Perdio Page. Negra Page. Nep Page. CCL Page.
http://www.ps.uni-sb.de/Projects/nep.html
Typed Concurrent Programming With Logic Variables
Typed concurrent programming with Logic Variables. We present a concurrent higherorderprogramming language called Plain and a concomitant static type system.
http://www.ps.uni-sb.de/Papers/abstracts/plain-report-97.html
ANTIMETA - Book Review: Concurrent Programming In Java: Design Principles And Pa
concurrent programming in Java Design Principles and Patterns, by Doug Lea AddisonWesley,ISBN 0-201-69581-2. Rating 8/10. A Book on concurrent programming.
http://www.antimeta.com/publications/reviews/concurrent_programming_in_java.html

Extractions: Review: Not for beginners, this advanced book is perhaps somewhat hard to follow in places but rewarding to those who persevere. Rating: 8/10 A Book on Concurrent Programming Concurrent Programming in Java is not just a book on Java threads. Rather, this 339 page book from JavaSoft's Java Series delves into the unique problems and solutions of concurrent programming. It just happens to use Java as its example language. Sure, you'll learn how to use Java constructs such as synchronized volatile wait notify , and notifyAll . But you'll also learn how to put them together properly in an architecture that works The book has an online site with an excellent overview and supplement (containing errata, code, applets, and more). Impressions This was the first book dedicated to concurrent programming that I read. I absorbed it over the course of a month while dealing with serious threading issues in a major shipping product. Since then I've read half of Butenhof's Programming with POSIX Threads (which cites Lea's book), so I have a bit of perspective.
OOPWeb.com - Concurrent Programming Using Java By Stephen J. Hartley
http://oopweb.com/Java/Documents/ConcProgJava/VolumeFrames.html
Cs304 Concurrent Programming
Department of Computer Science cs304 ConcurrentProgramming. Information available from here.
http://www.cs.uwa.edu.au/undergraduate/units/230.304/

Extractions: Email discussion list for cs304 Lecture times Venue Weeks 1-13 : Monday: 9AM Woolnough Lecture Theatre Weeks 1-13 : Wednesday: 9AM Engineering LTh. 1 There are 4 or 5 tutorial sessions for cs304. Tutorial sessions will be announced later. The first tutorial will be held most probably in the fourth week, but it will be confirmed later. Written, sample solutions to tutorial questions will not be provided. All tutorials will be held in CS Room 1.24. Practical work is a very important component of cs304, both in weekly laboratory sessions that will reinforce lecture material and in project material that requires you to increase the depth of your knowledge. A number of three-hour weekly periods have been reserved in which you are expected to undertake the laboratory and project work. Completion of the laboratory sheets is considered essential for satisfactory progress in cs304.
Concurrent Programming With The Thread Manager
concurrent programming With The Thread Manager. ERIC ANDERSON AND BRADPOST. Let This is what's fun with concurrent programming. From
http://www.mactech.com/articles/develop/issue_17/Anderson_Post_final.html

Extractions: About MacTech Home Page Subscribe to MacTech! ... Webmaster Feedback Let us introduce you to the latest addition to the Macintosh Toolbox the Thread Manager. The Thread Manager enables concurrent programming so that you can provide true multitasking within your application. We give a quick overview of the Thread Manager and then move on to discuss advanced programming techniques not found in the Thread Manager documentation. The Thread Manager is a new part of the Macintosh Toolbox that provides both cooperative and preemptive threads of execution within an application. Although it's available only within your application and is not used for systemwide preemption, you can take advantage of it in many valuable ways: Use a threaded About box so that your application can continue running in the background while displaying a modal dialog. Do anything you do today at idle time with null events within a thread. This avoids the complexity of writing idleProcs. Decouple time-consuming processes from the user interface of your application. For example, create an image-rendering thread for each image to render, and use the main thread for the user interface of the application. Similarly, with graphics screen redraws and print spooling, have a thread do the redraw or spool a print job while the main thread handles the user interface.
Concurrent Programming, 5 Points
concurrent programming, 5 p. concurrent programming plays a vital rolein systems where many events appear to occur simultaneously.
http://utbkat.gu.se/utbildning/utb/A13KINN390.html

Extractions: Eng Frontpage Aktuellt Om GU Student/utbildning Forskning Safari Forskarutb Organisation Styrelse/rektor Internationalisering Universitetsbiblioteket Forskningsfonden Stipendier Karta - GU GU-shop Adm system Databaser etc Diarium Ekonomi/Plan. Internrevision Personal Lokaler, utrustning Policies/riktlinjer Profilprodukter Protokoll Universitetskanalen Upphandl/ramavtal Varulager Stipendier Utbildningssidan Ämnesindex Kursförteckning mån, ons och tors 12.30-14 Datalogi är en grundläggande vetenskap av betydelse i alla sammanhang där datorer utnyttjas. Centralt inom datalogin är studier av tekniker och hjälpmedel för programmering av datorer. Syftet är att utveckla metoder för konstruktion av program, programsystem och datasystem för olika typer av problem. Även samspelet mellan människa, program och maskin utgör viktiga moment. Mer information finns på Internet: http://www.cs.chalmers.se/

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