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Home/ Questions/Q 8372723
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Editorial Team
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Editorial Team
Asked: June 9, 20262026-06-09T14:30:34+00:00 2026-06-09T14:30:34+00:00

i’m writing some code that basically receive data from socket, perform deserialization and then

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i’m writing some code that basically receive data from socket, perform deserialization and then passed to my application.the deserialized objects can be grouped by their id’s (the id is being generated during the deserialization process).

to increase the performance of my application i wanted to use the new parallelism capabilities that came with C# 4.0. the only constraint i have is that 2 threads cannot access object with the same id’s. now i know that i can just perform lock() on a sync object that will be placed inside the object but i want to avoid these locks (performance is an issue here).

The design I’ve thought about:

  1. create some kind of partitioner that will split data by the ID (this will make sure that every buffer i’ll get will always have the same object id’s group together).
  2. assign thread by using TPL of PLINQ

can someone suggest me some sources that do that?

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  1. Editorial Team
    Editorial Team
    2026-06-09T14:30:36+00:00Added an answer on June 9, 2026 at 2:30 pm

    I would suggest PLINQ when developing for multiple processors or cores.

    PLINQ is a query execution engine that accepts any LINQ-to-Objects or LINQ-to-XML query and automatically utilizes multiple processors or cores for execution when they are available. The change in programming model is tiny, meaning you don’t need to be a concurrency guru to use it. In fact, threads and locks won’t even come up unless you really want to dive under the hood to understand how it all works. PLINQ is a key component of Parallel FX, the next generation of concurrency support in the Microsoft® .NET Framework.

    This covers:

    • From LINQ to PLINQ
    • PLINQ Programming Model
    • Processing Query Output
    • Concurrent Exceptions
    • Ordering in the Output Results
    • Side Effects
    • Putting PLINQ to Work

    Parallel LINQ (PLINQ)

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