Recalibrate the Cost Model from an Observed Run

Re-fits the per-task cost model from a run's measured hc task durations (the cost-analysis timings), returning an ssdsims_cost_calibration of the same shape ssd_calibrate_cost() produces - so it drops straight into ssd_estimate_cost() - but derived from real measurements rather than the synthetic micro-benchmark. The fixed addend comes from the measured fit task durations. Read-only: no pipeline, no RNG, no writes.

Usage

ssd_calibrate_cost_from_run(
  scenario,
  root = scenario_results_dir(scenario),
  host = NULL
)

Arguments

scenario

An ssdsims_scenario from ssd_define_scenario().

root

The run's results root (the fit/hc shard trees live under it). Defaults to scenario_results_dir() for scenario.

host

Optional CPU description (a .host value) to select when the run spans more than one host. NULL (the default) requires a single-host run.

Value

An ssdsims_cost_calibration with run-derived provenance.

Details

Because the calibration is architecture-specific, timings from different .host values are never silently pooled: a run spanning more than one host requires an explicit host, or the function aborts listing the hosts found.

See also

ssd_calibrate_cost(), ssd_analyse_cost().