Parallel programming (multithreading) in ASP.NET 4.0 (C# and VB) | Free code
Here you can download free code (C# and VB) with comments that will help you to learn more about parallel programming and multithreading in ASP.NET 4.0.
Parallel programming is an approach in programming used to take advantage of all cores in one processor and this is increasingly important in the future as processors get more cores because it is difficult to improve the clock speed of one processor. Parallel programming involves the creation of multiple threads (multithreading) to balance the work between all cores in the processor and this means that the code could run faster.
In ASP.NET 4.0 can you use parallel loops (data parallelism), start multiple tasks simultaneously (task parallelism), and use PLINQ to create code that runs in several threads on different cores in the processor. Classes for parallel programming in the ASP.NET 4.0 framework is optimized to create the right number of threads depending on the number of cores in the processor and this makes your code scalable in that sense that you can buy a CPU with more cores and automatically receive better performance.
Parallel programming involves some extra processing work to coordinate tasks and you should therefore not apply parallel methods for all code in an application. Parallel programming is applied to tasks that are independent of each other because you never can be sure in which order tasks are performed. There are ways to manage tasks that depend on each other but this then means that performance gains are restricted or that performance is worse than for sequential code.
In this template with free code (C# and VB) for parallel programming (multithreading) in ASP.NET 4.0, have we chosen to perform the same tasks with sequential code and parallel code to compare the time usage for these two approaches. We import stock quotes to a collection of strings, create objects from these strings and store the objects in a collection of objects, calculates an average value, create a text file and create a chart.
When you are dealing with parallel programming is it important to use classes that are tread-safe and we have used tread-safe classes in our parallel code. The parallel code in this free template includes a parallel loop, parallel ForEach loops and we have also started three methods simultaneously (in parallel).
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