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Measure the build time and peak RSS of a penn-full table with band-bottom rate refinement (operator-run) #360
Split from #357 (part b). Measurement only; no code change. Operator-run because a full-Penn table build is the workload suspected of exhausting host memory in an earlier session; no automated agent should run it.
What to measure
Wall time and peak RSS of one model = "penn-full" electron table build for a material with a band, with band-bottom rate refinement on (RateRefinement::default(), which lindhard run now applies to every material with a band, #355), against the same build with refinement off if a switch is available (otherwise against the row count alone). Each refinement level evaluates 3 to 4 scalar rates per tested cell and adds roughly 5 to 25 rows; the question is how much that adds to a full-Penn build.
Command (adjust paths; run on an otherwise idle host)
cp examples/electron/e_10keV_si.toml /tmp/penn_full_timing.toml # edit: model = "penn-full"; keep its [band]
RAYON_NUM_THREADS=2 timeout 3600 /usr/bin/time -l \
cargo run --release -p lindhard-cli -- run /tmp/penn_full_timing.toml \
--out /tmp/penn_full_timing_out/ --ions 1 --seed 1 --threads 2 \
--table-cache /tmp/penn_full_timing_cache/
Caps: two rayon threads, one process, a one-hour timeout, nothing else building. /usr/bin/time -l reports "maximum resident set size" (bytes on macOS); record it. Stop (Ctrl-C) and record the RSS so far if resident memory passes about a quarter of host RAM. Do not run concurrently with a sweep.
Report
Post a comment here with: material and ELF file, --ions, row count of the built table (cache entry or the run summary), wall time, peak RSS, host RAM. Then close.
Acceptance criteria
One measured build recorded in a comment (time, peak RSS, rows, host).
If the added cost is large, file a follow-up; otherwise close.
Operator triage: remain blocked pending the condition below.
Keep blocked until an idle host with an explicit memory/time budget is allocated; a shared worker retry is inappropriate.
Pro: The measurement would quantify a real Penn-table performance and memory uncertainty.
Con: The requested workload previously risked host exhaustion and no quiet, bounded compute allocation is recorded.
Confidence: 96% in this disposition. Keep/add loom:blocked; remove loom:operator.
Activity
rjwalters commentedon Oct 15, 2026
Operator triage: remain blocked pending the condition below.
Keep blocked until an idle host with an explicit memory/time budget is allocated; a shared worker retry is inappropriate.
Pro: The measurement would quantify a real Penn-table performance and memory uncertainty.
Con: The requested workload previously risked host exhaustion and no quiet, bounded compute allocation is recorded.
Confidence: 96% in this disposition. Keep/add
loom:blocked; removeloom:operator.