The estimate is a weighted combination of
static (based on wu.rsc_flops_est and avp->flops)
and dynamic (based on fraction done and elapsed time)
estimates; see below.
The weight of the dynamic estimate is the square of the fraction done;
e.g. when 50% done, the weight is 0.25.
So at 11% done the estimate is based almost entirely on the static estimate.
-- David
double ACTIVE_TASK::est_dur() {
if (fraction_done >= 1) return elapsed_time;
double wu_est = result->estimated_runtime();
if (fraction_done <= 0) return wu_est;
if (wu_est < elapsed_time) wu_est = elapsed_time;
double frac_est = fraction_done_elapsed_time / fraction_done;
double fd_weight = fraction_done * fraction_done;
double wu_weight = 1 - fd_weight;
double x = fd_weight*frac_est + wu_weight*wu_est;
return x;
}
double RESULT::estimated_runtime_uncorrected() {
return wup->rsc_fpops_est/avp->flops;
}
// estimate how long a result will take on this host
//
double RESULT::estimated_runtime() {
double x = estimated_runtime_uncorrected();
if (!project->dont_use_dcf) {
x *= project->duration_correction_factor;
}
return x;
}
On 08-Feb-2014 11:54 AM, Jon Sonntag wrote:
Why would 11% complete in 1.5 hours have an estimated 72 hours remaining
when it should be closer to 14 hours remaining? Does BOINC need a math
tutor? ;-)
I find it interesting that the estimates on a Q6600 are correct but on both
of my i7 hosts they are way too high.
All hosts have all been running the app for several weeks so any learning
curve by the smart estimate algorithm should have adjusted the numbers
already, right? How long should it take BOINC to get the estimates
correct? I would think less than an hour when percent complete is totally
linear. Or is the problem the that the benchmarks do not take into account
hyper-threading which skews the estimates?
Jon Sonntag
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