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Parallel Extensions was the development name for a managed concurrency library developed by a collaboration between Microsoft Research and the CLR team at Microsoft. The library was released in version 4.0 of the .NET Framework. [1] It is composed of two parts: Parallel LINQ (PLINQ) and Task Parallel Library (TPL).
This is a computer vision and artificial intelligence library. [14] [15] It implements a number of image processing algorithms and filters. It is released under the LGPLv3 and partly GPLv3 license. Majority of the library is written in C# and thus cross-platform. [citation needed] Functionality of AForge.NET has been extended by the Accord.NET ...
The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [ 3 ] Deciding the optimal thread pool size is crucial to optimize performance.
Like most source control systems, SourceSafe creates a virtual library of computer files. While most commonly used for source code, SourceSafe can handle any type of file in its database, but older versions were shown [1] [2] to be unstable when used to store large amounts of non-textual data, such as images and compiled executables.
Accord.NET is a framework for scientific computing in .NET. The source code of the project is available under the terms of the Gnu Lesser Public License, version 2.1.. The framework comprises a set of libraries that are available in source code as well as via executable installers and NuGet packages.
ZeroMQ (also spelled ØMQ, 0MQ or ZMQ) is an asynchronous messaging library, aimed at use in distributed or concurrent applications. It provides a message queue, but unlike message-oriented middleware, a ZeroMQ system can run without a dedicated message broker; the zero in the name is for zero broker. [3]
The message queue paradigm is a sibling of the publisher/subscriber pattern, and is typically one part of a larger message-oriented middleware system. Most messaging systems support both the publisher/subscriber and message queue models in their API , e.g. Java Message Service (JMS).
Berkeley DB 1.x releases focused on managing key/value data storage and are referred to as "Data Store" (DS). The 2.x releases added a locking system enabling concurrent access to data. This is what is known as "Concurrent Data Store" (CDS). The 3.x releases added a logging system for transactions and recovery, called "Transactional Data Store ...