I leave boinc do its thing with most projects but it doesnt really work with Docking@home when my machines go off at night or something I loose so much time that deadlines are impossible to meet…
if this keeps up ill have to scale down the Docking@home offensive and pick up one of my other projects…
What’s the Atom’s benchmarks like? I got myself a 230 on a board sat here but it’s not working yet as I’m waiting for a cable to arrive (molex to 4 pin ATX adapter)
Appears it’s at 891 in top CPU’s on BOINC Stats. (Not bad that I have the No.1 CPU as well mind - Q6600@2.4Ghz :D)
I had the same issue when I came back from holiday. I just aborted all tasks and then allowed it to download new ones all then had 5-7 days before the deadline expired
The answer is:
If you miss deadline the unit is resent, (that is norm) but if you still send the Work unit back before the resent one does… you get the credit and they get screwed.
Heidi
so send them if you are not real late!
Kind of unfair for the other… Oh well that is how Docking does it.
so that’s what happens then, you basically stand the risk of wasting a few hours CPU time for no benefit. When will projects learn that this behaviour of deadlines will push users away, at least use the results to verify each other and reward.
I suppose that’s what you get for a single result=single credit system and not having the units validated like Seti.
Well not just cheating either. How about a mildly unstable overclock, or a dodgy memory module? Either could skew the calculations. That’s why redundancy is there, I know some projects don’t need to use it due to the nature of the calculations performed, I’m unsure where Docking is on this question.
The more I look… the more projects I find that do the same. This is not uncommon at all.
But agree validation should be done.
Writing them about it, not that it will do any good… but writing nevertheless.
Let you know if I get any response.
Heidi
I believe Riesel Sieve got away with it because they offered two options, Sieving and Prime Hunting.
A mistake in sieving wasn’t a big deal. Sieving looked at numbers and if they could factor, they were removed from the prime hunt. It removed factors quite nicely/quickly. A missed factor would still be tested via the prime hunting.
However, I don’t know how they checked the primes… I guess with Riesel Sieve there was 100 numbers they were chasing and thus if they crunched all the numbers and found they were missing a few, then they could go over it all again (and it’s quicker checking what’s already been done)