Many personal computers and workstations have multiple CPU cores that enable multiple threads to be executed simultaneously.
To take advantage of the hardware, you can parallelize your code to distribute work across multiple processors.
In parallel computing, an embarrassingly parallel workload or problem is one where little or no effort is needed to separate the problem into a number of parallel tasks. This is often the case where there is little or no dependency or need for communication between those parallel tasks, or for results between them.
The Task Parallel Library (TPL) is a set of public types and APIs in the System.Threading and System.Threading.Tasks namespaces.
The purpose of the TPL is to make developers more productive by simplifying the process of adding parallelism and concurrency to applications.
The TPL scales the degree of concurrency dynamically to most efficiently use all the processors that are available.
In addition, the TPL handles the partitioning of the work, the scheduling of threads on the ThreadPool, cancellation support, state management, and other low-level details.
By using TPL, you can maximize the performance of your code while focusing on the work that your program is designed to accomplish.
Multiple parallelized algorithms realized in C# including:
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