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Concurrent Programming: more books (100)

Objects for Concurrent Constraint Programming (The Springer International Series in Engineering and Computer Science) by Martin Henz, 1997-10-31
Concurrent Programming for Software Engineers (Ellis Horwood Series in Computers and Their Applications) by Dick Whiddett, 1987-09
Concurrent programming in occam 2 (Ellis Horwood series in computers and their applications) by John Wexler, 1989
Object-Oriented Concurrent Programming (Artificial Intelligence) by Akinori Yonezawa, Mario Tokoro, 1987-04-14
Concurrent Programming (International Computer Science Series) by Narain Gehani, 1988-03
Whiddett: Concurrent Programming for Software Engineers (Paper) by Richard John Whiddett, 1987-09-16
Ada: Concurrent Programming by Narain Gehani, 1991-01
Non-Deterministic Concurrent Logic Programming in Pandora (World Scientific Series in Computer Science) by Reem Bahgat, 1993-09
The Origin of Concurrent Programming: From Semaphores to Remote Procedure Calls
Concurrent Information Processing and Computing (NATO Science) by Dan Grigoras, Romania) NATO Advanced Research Workshop on Concurrent Information Processing and Computing (2003 : Sinaia, et all 2005-05-31
Theory and Practice of Parallel Programming: International Workshop TPPP '94, Sendai, Japan, November 7-9, 1994. Proceedings (Lecture Notes in Computer Science)
Open Multithreaded Transactions: A Transaction Model for Concurrent Object-Oriented Programming by Jörg Kienzle, 2010-11-02
Object-Based Models and Languages for Concurrent Systems: ECOOP '94 Workshop on Models and Languages for Coordination of Parallelism and Distribution, ... Papers (Lecture Notes in Computer Science)
Concurrent Engineering: Tools and Technologies for Mechanical System Design (NATO ASI Series / Computer and Systems Sciences)

lists with details

Concurrency In Ada
By Alan Burns, Andy Wellings; Cambridge University Press, 1998, ISBN 052162911X. A main Ada trait is facilities for concurrent programming; thorough, selfcontained book, good for beginners to experts. Cambridge University Press
http://books.cambridge.org/052162911X.htm
Java Theory And Practice: Safe Construction Techniques
concurrent programming in Java applications is more complicated than it looks there are several subtle (and not so subtle) ways to create data races and other concurrency hazards in Java programs. In this installment of Java theory and practice, Brian Goetz looks at a common threading hazard allowing the this reference to escape during construction. This harmlesslooking practice can cause unpredictable and undesirable results in your Java programs.
http://www-106.ibm.com/developerworks/library/j-jtp0618.html

Extractions: var title = "Java theory and practice: Safe construction techniques"; var contentAreaList = "java"; var emailAbstract = "Concurrent programming in Java applications is more complicated than it looks: there are several subtle (and not so subtle) ways to create data races and other concurrency hazards in Java programs. In this installment of Java theory and practice, Brian Goetz looks at a common threading hazard: allowing the this reference to escape during construction. This harmless-looking practice can cause unpredictable and undesirable results in your Java programs."; var demoURL = ""; Search for: within All of dW eServer Lotus Rational Tivoli WebSphere Autonomic computing Grid computing Java technology Linux Open source Web arch. Web services Wireless XML dW forums dW Subscription alphaWorks All of IBM Search help IBM home My account Contents: Safe construction techniques Don't publish the "this" reference during construction Don't implicitly expose the "this" reference Don't start threads from within constructors ... Rate this article Related content: Double-checked locking and the Singleton pattern Writing multithreaded Java applications Java theory and practice series Subscriptions: dW newsletters dW Subscription
UQC011H2-Concurrent Programming
UQC011H2 concurrent programming. Contents. Introduction. Problems. Semaphores. Monitors. Communication. Termination. Testing. Resources. Implementation.
http://www.cs.bath.ac.uk/~amb/UQC011H2/concprog.html
Concepts Of Concurrent Programming
Concepts of concurrent programming. Curriculum Module. A concurrent program is one defining actions that may be performed simultaneously.
http://www.sei.cmu.edu/publications/documents/cms/cm.024.html

Extractions: Curriculum Module Bustard, D. (University of Ulster) A concurrent program is one defining actions that may be performed simultaneously. This module discusses the nature of such programs and provides an overview of the means by which they may be constructed and executed. Emphasis is given to the terminology used in this field and the underlying concepts involved.
Linux Magazine | April 2001 | COMPILE TIME | More Concurrent Programming Topics
COMPILE TIME. More concurrent programming Topics. by Benjamin Chelf. In the past two months we ve introduced threads and mutexes, the
http://www.linux-mag.com/2001-04/compile_01.html

Extractions: LINUX MAGAZINE subscribe advertise customer service ... contacts Newsletter Email: Name: Sections Editorial Newbies Reviews Shutdown How To LAMP Post Power Tools Guru Guidance On The Desktop ... Best Defense Developer's Den Java Matters Extreme Linux Compile Time Perl of Wisdom ... Downloads On Stands Now Indexes Issue Archive Author Index RSS feed Subscribe Now! Name: Address: City: State: XX (US only) Zip: Email: 12 issues for $29.95 24 issues for $54.95 Non-US orders? Click here for delivery to: Canada Mexico Other feedback ... COMPILE TIME More Concurrent Programming Topics page next >> COMPILE TIME More Concurrent Programming Topics by Benjamin Chelf In the past two months we've introduced threads and mutexes, the locking mechanism used to prevent race conditions in threaded applications. In this month's column, we'll look at two types of concurrent programming techniques used to synchronize the execution of code in threads. Hopefully, this discussion will further your perception of locks and how they are used in concurrent programming. Recall that a mutex is a lock that only one thread can "hold" at any given time. If a thread tries to acquire the lock while another thread "holds" it, that thread will be blocked until the lock is released. This mechanism is quite helpful when you want only one thread executing certain code at a given time (for example, when a common variable's value is read and then written).
Java: Tips, Tutorials And How-tos
Links to free online lessons on Java subjects ranging from concurrent programming to optimization to Java for beginners
http://www.knowledgehound.com/topics/java.htm
Linux Magazine | March 2002 | FEATURE | Common Concurrent Programming Errors
FEATURE. Common concurrent programming Errors. Things can get tricky when a program runs in multiple threads. by Henry Gabb. Concurrent
http://www.linux-mag.com/2002-03/concurrent_01.html

Extractions: LINUX MAGAZINE subscribe advertise customer service ... contacts Newsletter Email: Name: Sections Editorial Newbies Reviews Shutdown How To LAMP Post Power Tools Guru Guidance On The Desktop ... Best Defense Developer's Den Java Matters Extreme Linux Compile Time Perl of Wisdom ... Downloads On Stands Now Indexes Issue Archive Author Index RSS feed Subscribe Now! Name: Address: City: State: XX (US only) Zip: Email: 12 issues for $29.95 24 issues for $54.95 Non-US orders? Click here for delivery to: Canada Mexico Other feedback ... March 2002 / FEATURE Common Concurrent Programming Errors page next >> FEATURE Common Concurrent Programming Errors Things can get tricky when a program runs in multiple threads. by Henry Gabb C oncurrent programming has been around for a long time. Programmers have typically used threads to express concurrency. Mapping independent tasks to threads gives the operating system greater flexibility in scheduling, which helps hide program latency. While one thread waits for data, the operating system can run another. In addition, most systems are capable of doing computation and I/O simultaneously, provided that computation and I/O are independent tasks mapped to threads. With symmetric multiprocessors (SMP) becoming more common, programmers are starting to use threads to take advantage of the performance benefits of parallel computing. (For an introduction to threads and their uses, see the four-part "Compile Time" series mentioned in the Resources box.) Concurrency adds a temporal component to coding that can be confusing at first. It also makes debugging harder because errors can be difficult to reproduce. Fortunately, the same types of errors tend to appear over and over again. This article will try to show you what not to do, hopefully avoiding bugs in the first place (or at least making it easier to spot errors in existing programs). The concurrent programming errors described in this article are divided into two categories those causing data races and those causing deadlock. Most of the example programs sometimes execute correctly and sometimes don't. That's the difficulty of debugging concurrent programs. Multithreaded programs that work fine during testing often fail in the hands of the end-user.
The Functional Logic Language Curry
Multiparadigm declarative programming language seamlessly merges functional, logic, and concurrent programming paradigms; covers the most important operational principles in the area of integrated functional logic languages.
http://www.informatik.uni-kiel.de/~curry/

Extractions: A Truly Integrated Functional Logic Language Curry is a universal programming language aiming to amalgamate the most important declarative programming paradigms, namely functional programming and logic programming . Moreover, it also covers the most important operational principles developed in the area of integrated functional logic languages : "residuation" and "narrowing" (you find here a survey on functional logic programming). Curry combines in a seamless way features from functional programming (nested expressions, higher-order functions, lazy evaluation), logic programming (logical variables, partial data structures, built-in search), and concurrent programming (concurrent evaluation of expressions with synchronization on logical variables). Moreover, Curry provides additional features in comparison to the pure languages (compared to functional programming: search, computing with partial information; compared to logic programming: more efficient evaluation due to the deterministic and demand-driven evaluation of functions). The development of Curry is an international initiative intended to provide a common platform for the research, teaching and application of integrated functional logic languages. The design of Curry is mainly discussed in the
Concurrent Programming In Java: State Dependence
From the Book. concurrent programming in Java 8482; Design Principles and Pattern, 2nd Edition concurrent programming in Java State Dependence.
http://www.informit.com/articles/article.asp?p=31539
GBC/ACM Spring 1998 Professional Development Seminar Schedule
Return to GBC/ACM Home Page. concurrent programming in Java. Doug Lea will present techniques for effective concurrent programming in Java. Who Should Attend.
http://www.acm.org/chapters/gbc/pds-s98.html
Concurrent Programming Concepts
concurrent programming Concepts. Full text, pdf formatPdf (1.74 MB). Source, ACM Computing Surveys (CSUR) archive Volume 5 , Issue 4
http://www.acm.org/pubs/articles/journals/surveys/1973-5-4/p223-hansen/p223-hans
Erlang University
An Erlang online course. History, sequential programming, concurrent programming, error handling and advanced topics.
http://www.erlang.org/course/course.html

Extractions: This is the content of the Erlang course. This course usually takes four days to complete. It is divided into 5 modules and has a number of programming exercises This course is available in various formats: A short history of the Erlang language describing how Erlang was developed and why we had to invent a new language. Symbolic data representation, how pattern matching is used to pack/unpack data, how functions are combined to form programs etc. Creating an Erlang process, communication between Erlang processes. Covers error handling and the design of robust systems. All those tricky things like loading code in running systems, exception handling etc.
Concurrent Programming (part Of CSc213/4)
concurrent programming (part of CSc213/4). 11/25/98. Click here to start. Table of Contents. concurrent programming (part of CSc213/4). Administrative details.
http://www.comp.lancs.ac.uk/computing/users/geoff/210/conc/
SmallAda
A compiler/interpreter for a part of the Ada language, namely the Pascal subset plus the Ada tasking support. It is not intended ever to be a full Ada compiler, rather a vehicle for teaching, learning, and experimenting with concurrent programming. The compiler is quite fast, producing Pcode which is then interpreted by the interpreter. (ZIP)
http://www.readyideas.com/ada/SMALLADA.ZIP

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Parallel Programming
Problems such as these are known to be embarrassingly parallel . Pioneers in the field of concurrent programming include Edsger Dijkstra and CAR Hoare.
http://www.fact-index.com/p/pa/parallel_programming.html

Extractions: Main Page See live article Alphabetical index Parallel programming , or concurent programming is the technique of computer programming that provide for the execution of operations (either actually or apparently) concurrently, either within a single computer, or across a number of systems. In the latter case, the term distributed computing is used. Multiprocessor machines achieve better performance by taking an advantage of this kind of programming. Parallel programming or computing is the splitting of a single task into a number of subtasks that can be computed relatively independently and then aggregated to form a single coherent solution. Distributed computing can be defined as a method of information processing in which work is performed by separate computers linked through a communications network. Parallel programming is most often used for tasks that can easily broken down into independent tasks such as purely mathematical problems e.g. factorisation. Problems such as these are known to be 'embarrassingly parallel'. Pioneers in the field of concurrent programming include Edsger Dijkstra and C. A. R. Hoare
COMP 421: Operating Systems And Concurrent Programming
COMP 421 Operating Systems and concurrent programming. Spring 2004. This course is intended to provide a basic understanding of the
http://www.owlnet.rice.edu/~comp421/

Extractions: This course is intended to provide a basic understanding of the software that manages a computer's hardware resources to provide a powerful abstract interface on which user programs execute. The course focuses on the control and utilization of processor, memory, storage, and network resources. The concepts in this course include file systems, main and secondary storage management, virtual memory, process management and scheduling, interprocess communication, protection, security, synchronization of concurrent processes, deadlock, and an introduction to networking. The course is structured into two parts, a principles part and a projects part. The lectures and projects have been sequenced so that by the time you are working on a project, we have covered the concepts involved in that project in the lectures. Your implementation in the project will then anchor these ideas in your mind. News Copies of the final exam will be available to pick up from the CS department office beginning Monday morning. The instructions for the exam are the same as they were for the midterm exam. During the exam, you may want to refer to the handouts from the projects we did this semester. If you don't have your copies anymore, you can get them off Projects page here.
Extending Java To Support Shared Resource Protection And Deadlock Detection In T
Java threads enable programmers to write parallel programs very easily and conveniently. However, the current Java specification does not adequately provide for the protection of shared resources or for deadlock detection, two of the most common problems arising from parallel programs. The ability to solve these problems is crucial for Java concurrent programming. In this paper, we introduce and implement a model that can aid in writing parallel programs by providing shared resource protection and deadlock detection. Published in Crossroads, the ACM student magazine.
http://www.acm.org/crossroads/xrds4-2/dynac.html

Extractions: Nathan Oostendorp Java threads enable programmers to write parallel programs very easily and conveniently. However, the current Java specification does not adequately provide for the protection of shared resources or for deadlock detection, two of the most common problems arising from parallel programs. The ability to solve these problems is crucial for Java concurrent programming. In this paper, we introduce and implement a model that can aid in writing parallel programs by providing shared resource protection and deadlock detection. The increasing use of parallel systems and programs in many different fields has brought new attention to how threads cooperate and share data. Parallel programs are used in such critical and sensitive environments as database operation and manipulation, data collection and system maintenance tasks. With an increasing emphasis being placed on the World Wide Web and on platform-independent tools, Java is positioned to become the language of choice for many applications, including parallel programming. While it provides some solid facilities for basic threads programming, Java does not adequately provide for shared resource protection or have the ability to detect deadlock. Adequate Java support for these features would make Java threads even more effective for parallel programming. Let us consider two simple applications that illustrate the need for these features. First, consider a bank with 2 ATM machines. Bob and Jane share an account with a current balance of $500, and they each make a different transaction at the exact same time. Bob wants to withdraw $100 and Jane wants to deposit $150. If this scenario proceeds, without provisions for data protection, the resulting balance will be either ($500 - 100) = $400 or ($500 + 150) = $650, both of which are incorrect. This, of course, does not happen, and the correct balance will include both transactions, leaving the final balance at ($500 - 100 + 150) = $550. Second, consider the Dining Philosophers scenario
ProQuest Information And Learning - Concurrent Programming In Java: Design Pri
In concurrent programming in Java, Second Edition, you will find thoroughly updated coverage of the Java 2 platform and new or expanded coverage of Memory
http://proquest.safaribooksonline.com/0201310090

Extractions: In Concurrent Programming in Java, Second Edition , you will find thoroughly updated coverage of the Java 2 platform and new or expanded coverage of: 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, asynchronous message passing and control flow, coordinated interaction, and structuring 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.
Concurrent Programming Language - Encyclopedia Article About Concurrent Programm
encyclopedia article about concurrent programming language. concurrent programming language in Free online English dictionary, thesaurus and encyclopedia.
http://encyclopedia.thefreedictionary.com/Concurrent programming language

Extractions: Dictionaries: General Computing Medical Legal Encyclopedia Word: Word Starts with Ends with Definition Concurrent programming languages are those that define commands In telecommunication, the term command has the following meanings: An order for an action to take place. In data transmission, an instruction sent by the primary station instructing a secondary station to perform some specific function. In signaling systems, a control signal. In computer programming, that part of a computer instruction word that specifies the operation to be performed. See command (computing) for detail. Click the link for more information. as messages Message in its most general meaning is the object of communication. Depending on the context, the term may apply to both the information contents and its actual presentation. In the communications discipline, a message is information which is sent from a source to a receiver. Some common definitions include: Any thought or idea expressed briefly in a plain or secret language, prepared in a form suitable for transmission by any means of communication. An arbitrary amount of information whose beginning and end are defined or implied.
Concurrent Programming
Previous Contents Next Chapter 1 concurrent programming. Joinpattern synchronization expresses many programming paradigms, either concurrent or sequential.
http://pauillac.inria.fr/join/manual/manual002.html

Extractions: 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. 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). 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.

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