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You may want to talk to your boss about your opportunities to join MSDN for free. I work at a company using all Microsoft Software, and I get a free subscription, which comes with access to almost all of microsoft's software. If you want to develop for desktop Windows you really need some level of MSDN access, or a good broadband connection and some patience while you access the online materials. Empower is a fairly pain-free method of getting your hands on all the best tools for very little outlay indeed - you end up with a large pile of DVDs and CDs, and a few updates during the year. I'd say it was an essential purchase - particularly if this is viewed as a career investment, or some element of training or progression.
As others have mentioned, this seems to be very OS dependent. On my Core i5-8350U running Win10, it took 118 seconds which indicates an overhead of around 237 uS per thread (I suspect that the virus scanner and all the other rubbish IT installed is really slowing it down too). Dual core Xeon E v4 running Windows Server 2016 took 41.4 seconds (82 uS per thread), but it's also running a lot of IT garbage in the background including the virus scanner.
I think a better approach is to implement a queue with a thread that continuously processes whatever is in the queue to avoid the overhead of creating and destroying the thread everytime. There is some overhead in thread creation, but comparing it with usually slow baud rates of the serial port (19200 bits/sec being the most common), it just doesn't matter. So either your primary thread or child processing thread can get stuck having to wait if the processor isn't sure whether the other process has altered a section of memory. By contrast, in an ideal situation, a unique processing thread for a given task only has to share memory with its calling task once (when it's launched) and then they never interfere with each other again. I just reviewed some really terrible code - code that sends messages on a serial port by creating a new thread to package and assemble the message in a new thread for every single message sent.
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First you need to design your code properly for threads to retrieve the incoming packets and process them in a deterministic fashion. If you use multiple (pre-allocated) threads it's possible that the packets may be processed 'out of order'. If you use a single (pre-allocated) thread to loop and pick up the incoming packets, there is a chance that thread might encounter a problem and terminate leaving no threads to process any data.