I’ve been attempting to use channels to implement a discrete time simulation and in my simple test code i have found that they seem to incur a lot of overhead.
just moving a single value into the producer channel and out of a consumer channel, 1 value at a time, at 10^5 iterations takes, about 0.3 s. i know this is an arbitrary number, but as a point of comparison the calculation that i would be performing on the accumulated values, adds 0.07s to that run-time.
I had sort of assumed that “under the hood” the channels would simply be some sort of array/buffer and an index, and so there would be very little over head. I’ve read through the documentation, and done the obligatory web search, and haven’t found any documentation pertaining to efficiency.
before i go re-inventing any wheels I’m wondering if there’s
1 a way to improve the efficiency of the channels
2 another data type in Julia that would be more suitable for what Im doing