A little overhead? Each interpreter spawned adds 50mb.of RAM used. Doesn’t sound like much, but on an 8 core, 16 thread CPU, spawning 15 additional interpreters, eats up nearly a gig of ram on its own. On Windows (unsure about Linux/Mac), it also adds time to startup, and you get way less computational power out of it than using something else. Idk if anyone else does this, but I start the processes on program startup so they’re always available.
It’s likely the end consumer doesn’t know/doesn’t care about the slight performance gains, especially when competitors in my niche get away with crap like “your search is in queue, we’ll email you when you’re done”, but I find that abhorrent and lazy and all around stupid, so I take all performance advantages I can get.
A little overhead? Each interpreter spawned adds 50mb.of RAM used. Doesn’t sound like much, but on an 8 core, 16 thread CPU, spawning 15 additional interpreters, eats up nearly a gig of ram on its own. On Windows (unsure about Linux/Mac), it also adds time to startup, and you get way less computational power out of it than using something else. Idk if anyone else does this, but I start the processes on program startup so they’re always available.
It’s likely the end consumer doesn’t know/doesn’t care about the slight performance gains, especially when competitors in my niche get away with crap like “your search is in queue, we’ll email you when you’re done”, but I find that abhorrent and lazy and all around stupid, so I take all performance advantages I can get.