Seems like this should have been covered in one of the stickies... What is Crunching and why should I consider doing it?

All very helpful replies, thanks fellas!
 
I was pointed to the Crunchers because I have a number of old CPU's that aren't useful for folding, so it was suggested they may be useful for crunching. I'd found this chart helpful for looking at my options for folding: https://docs.google.com/s...viWWveJIg_iZ8U2bf0/pub
 
I didn't see anything similar on here for crunching but it's possible I overlooked it... I'll keep poking around the forum for answers to my other questions.

I've been looking at the "projects" and there's quite a few... Do many/any of you split rig time between folding/crunching/mining/etc. or do you have dedicated systems for each?

I dedicate 1 gpu core per gpu for folding and use the rest for crunching. I find it's best to pick a project and run it exclusively switching the whole machine to different projects if something comes up. Some projects get a little odd when splitting computer time. It also makes it better for multi core workloads to run.

Those are some good points.
 
Make sure to leave one core available per GPU and stick to one crunching project per machine for the least amount of headaches.
There is some trial and error in finding which crunching projects "play well" together.

I mostly have "mixed" rigs (the ones that aren't are my current "gaming" rig, my older "APUs didn't exist yet at the time" rigs, and a couple of other rigs I built last year for specific purposes).
 The last 2 rigs and the next rig I have parts "on the way" for (2x AMD A10-7890K based, one Intel Kaby Lake ... G4600 I think? ... based):
 
 Discrete NVidia cards (AMD rigs 3x1070, Intel "next" rig will be 2x1080 1x1070 for cooling reasons) run Folding@Home except when I have pulled them out to do cryptocoin mining work on them to pay the bills.
 
 GPU side of the APU works the Distributed.Net RC5-72 project via BOINC / Moo Wrapper.
(pretty much ALL of my APUs do this, as the project in question needs almost ZERO memory access which makes them equally efficient per core/Mhz vs a discrete card with the same core/Mhz, and I'm a VERY long-term Distributed.Net participant, going back to DES days when I was running a BUNCH of AMD K5 based machines - the only APU that does NOT do so in on an old XP-based gaming rig I don't want to mess up).
 
 CPU side of the APU feeds the Folding cards, and mines BURST coin (not worth a lot, but better than wasting the excess HD space and doesn't need a LOT of CPU to mine it with).
 I used to assign my all of my 64-bit CPUs to the GIMPS project, but Folding needs too much CPU support and that was messing up either GIMPS or [link=mailto:F@H,]F@H,[/link] so I gave up on GIMPS.
 
 I haven't "crunched" for EVGA, but I've been a "cruncher" for almost 20 years now.
 http://stats.distributed.net/participant/phistory.php?project_id=205&id=414669
 
 Basically, if you see "QuintLeo" in DNet, GIMPS, Folding, or almost anywhere else. it's almost definitely me (there have been a couple of incidents of someone pretending to be me, though not that I've ever seen in distributed Internet type projects).
 

Am. 5 times over.
Birthsign.
Ascendent.
Moon.
Mercury.
Uranus.
"QuintLeo" came about because EFNet had a 9 character limit and "QuintupleLeo" didn't fit.