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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T19:58:12+00:00 2026-05-13T19:58:12+00:00

Scenario I have a very heavy number-crunching process that pools large datasets from 3

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Scenario

I have a very heavy number-crunching process that pools large datasets from 3 different databases and then does a bit of processing on each to eventually produce a result.
This process is fine if it is only used by a single asset. However I now have 3500 assets that I need to process, which takes about 1hr30mins in the state of the current process.

Question

What is my best option for speeding this process up in terms of a multi-threaded c# application? Realistically I don’t have to share anything between the processing of each asset, so I’m confident that being able to run process multiple assets at a time shouldn’t cause too many issues.

Thoughts

I’ve heard good things about thread pools, but I guess realistically I want something that isn’t too huge to implement, is easily understandable and can run off a decent number of threads at a time.

Help would be greatly appreciated.

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  1. Editorial Team
    Editorial Team
    2026-05-13T19:58:13+00:00Added an answer on May 13, 2026 at 7:58 pm

    In .net you can use the existing Thread Pool, no need to implement one yourself. Here is the relevant MSDN.

    You should take care not to run too many processes at once (3500 are a bit much), but using the supplied queuing mechanism should get you started in the right direction.

    Another thing to try is using PLINQ.

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