FP hardware survey — fleet capture campaign
Coordinates the cross-machine floating-point hardware survey produced by
crates/fp-hw-survey. The tool captures native scalar FP results + exception
flags through per-architecture inline asm (not libcore math), then merges
captures from many machines to surface the rows where hardware actually
disagrees. See crates/fp-hw-survey/README.md → Collecting captures across
the fleet.
Why this campaign
- Confirm intra-ARMv8 determinism. The Arm ARM defines
frecpe/frsqrte/
frecpx/fmulx via exact pseudocode; distinct ARMv8 vendors should produce
bit-identical estimates. A zero-divergence merge across AArch64 machines is
the expected, informative result — positive confirmation of conformance.
- Map the genuinely divergent axes. Cross-architecture x86-64 ↔ AArch64
semantics (fmax/fmin NaN handling, float→int saturation, flush-to-zero
edges), and any single-precision estimate difference attributable to a
FEAT_RPRES / FPCR.AH context gap (rpres/afp are recorded in each
capture header precisely so such a row is read as a feature difference, not an
erratum).
Target SKUs
Acquisition (manual, per machine)
No CI capture job — the interesting SKUs are physical hardware a hosted runner
does not represent. Each machine owner builds --release, runs info +
selftest (capture refuses to write if the self-test fails), then capture --label <cpu-and-os>, and submits the NDJSON plus the one-line header on the
matching per-SKU issue above.
Ingest (offline, on one machine)
fp-hw-survey merge --out divergences.ndjson capture-*.ndjson
Commit only, never the raw multi-hundred-MB captures:
divergences.ndjson — the merge output (expected empty for intra-ARMv8
estimate ops; an empty file is the positive result).
- a provenance table — one row per contributing capture copied from its
header: label, cpu, os, features, captured_utc, row count,
tool_version.
Raw captures are retained out-of-band (issue attachments / artifact storage).
Close-out
Paste the merge stderr summary (machine count, aligned-key count, divergence
count, per-op breakdown) into this issue and check off the contributing SKUs
above.
FP hardware survey — fleet capture campaign
Coordinates the cross-machine floating-point hardware survey produced by
crates/fp-hw-survey. The tool captures native scalar FP results + exceptionflags through per-architecture inline asm (not libcore math), then
mergescaptures from many machines to surface the rows where hardware actually
disagrees. See
crates/fp-hw-survey/README.md→ Collecting captures acrossthe fleet.
Why this campaign
frecpe/frsqrte/frecpx/fmulxvia exact pseudocode; distinct ARMv8 vendors should producebit-identical estimates. A zero-divergence merge across AArch64 machines is
the expected, informative result — positive confirmation of conformance.
semantics (
fmax/fminNaN handling, float→int saturation, flush-to-zeroedges), and any single-precision estimate difference attributable to a
FEAT_RPRES/FPCR.AHcontext gap (rpres/afpare recorded in eachcapture header precisely so such a row is read as a feature difference, not an
erratum).
Target SKUs
Acquisition (manual, per machine)
No CI capture job — the interesting SKUs are physical hardware a hosted runner
does not represent. Each machine owner builds
--release, runsinfo+selftest(capture refuses to write if the self-test fails), thencapture --label <cpu-and-os>, and submits the NDJSON plus the one-line header on thematching per-SKU issue above.
Ingest (offline, on one machine)
fp-hw-survey merge --out divergences.ndjson capture-*.ndjsonCommit only, never the raw multi-hundred-MB captures:
divergences.ndjson— the merge output (expected empty for intra-ARMv8estimate ops; an empty file is the positive result).
header:
label,cpu,os,features,captured_utc, row count,tool_version.Raw captures are retained out-of-band (issue attachments / artifact storage).
Close-out
Paste the
mergestderr summary (machine count, aligned-key count, divergencecount, per-op breakdown) into this issue and check off the contributing SKUs
above.