I have a low latency system that receives UDP messages. Depending on the message, the system responds by sending out 0 to 5 messages. Figuring out each possible response takes 50 us (microseconds), so if we have to send 5 responses, it takes 250 us.
I'm considering splitting the system up so that each possible response is calculated by a different thread, but I'm curious about the minimum "work time" needed to make that better. While I know I need to benchmark this to be sure, I'm interested in opinions about the minimum piece of work that should be done on a separate thread.
If I have 5 threads waiting on a signal to do 50 us of work, and they don't contend much, will the total time bef开发者_如何学Goore all 5 are done be more or less than 250 us?
Passing data from one thread to another is very fast 1-4 us provided the thread is already running on the core. (and not sleep/wait/yielding) If your thread has to wake it can take 15 us but the task will also take longer as the cache is likely to have loads of misses. This means the task can take 2-3x longer.
Is that 50us compute-bound, or IO-bound ? If compute-bound, do you have multiple cores available to run these in parallel ?
Sorry - lots of questions, but your particular environment will affect the answer to this. You need to profile and determine what makes a difference in your particular scenario (perhaps run tests with differently size Threadpools ?).
Don't forget (also) that threads take up a significant amount of memory by default for their stack (by default, 512k, IIRC), and that could affect performance too (through paging requests etc.)
If you have more cores than threads, and if the threads are truly independent, then I would not be surprised if the multi-threaded approach took less than 250 us. Whether it does or not will depend on the overhead of creating and destroying threads. Your situation seems ideal, however.
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