JuiPiter provides a mechanism to separate Swing tasks from long running non-UI tasks. The core of the JuiPiter mechanism is the Window Logic Decoupler. The decoupler, in addition to memory management and externalized strings, adds a single local Thread (non-Swing) per window that acts as the delegate. The single thread aspect solves the multi-Thread concurrency management that the developer must handle is using other options, i.e., SwingWorkerThread, FoxTrot, Spin.
All Swing and delegate tasks communicate through a message passing, publish and subscribe mechanism. Each task publishes messages through the decoupler. The use of queues allows the tasks to communicate without specific synchronization. There is one set of queues and a delegate thread for each Window, though a way to pass messages between Windows has been implemented. Along with this simple messaging infrastructure, JuiPiter also includes a number of Swing component helper classes and an extensive sample application, similar to the SwingSet, that demonstrates all the aspects of the JuiPiter framework. JuiPiter is designed in layers so that some developers may use just the messaging foundation while others will also use the component helpers and utility classes.
I have started to use moodle and I am very pleased by its forum module. Because - there is a nice threading - your receive a notification, if somebody answers a post of you.
In some cases, it may be appropriate to process part of a request synchronously, but to finish processing in a forked child depending on the request data. This can be implemented by using a synchronous server and doing an explicit fork in the request handler class handle() method.
This article looks thread management in a Swing GUI. There's more to success than simply spinning up background threads for long-running operations: you need to get the results of these operations back to the user, control the sequencing of not-quite-independent operations, and provide feedback to the user while the operation is running.
The threading module provides an easy way to work with threads. Its Thread class may be subclassed to create a thread or threads. The run method should contain the code you wish to be executed when the thread is executed.
I participated in the design and development of a couple of concurrency libraries for shared-memory multiprocessors long before such machines were popular. So when I started using java.util.concurrent I was already somewhat comfortable with the concepts.
The C++ standardization committee is hard at work standardizing threads for the next version of C++. Some members recently met to discuss the issues, and The C++ Source was there. Read on to learn what the world’s leading experts on concurrency are plan
Note that I made a grave error of thinking before writing this article: I forgot the copy-on-write page sharing of modern Unices. I added two paragraphs to this article that should clarify the point. Thanks for your comment, Alex.
Intel® Threading Building Blocks (TBB) offers a rich and complete approach to expressing parallelism in a C++ program. It is a library that helps you take advantage of multi-core processor performance without having to be a threading expert. Threading Building Blocks is not just a threads-replacement library. It represents a higher-level, task-based parallelism that abstracts platform details and threading mechanisms for scalability and performance.