- Add parallel GPU mode (checkbox, off by default): runs all selected GPUs
simultaneously via a single bee-gpu-burn invocation instead of sequentially;
per-GPU telemetry, throttle counters, TOPS, and scoring are preserved
- Make queryBenchmarkGPUInfo resilient: falls back to a base field set when
extended fields (attribute.multiprocessor_count, power.default_limit) cause
exit status 2, preventing lgc normalization from being silently skipped
- Log explicit "graphics clock lock skipped" note when inventory is unavailable
- Collect server model from DMI (/sys/class/dmi/id/product_name) and store in
result JSON; benchmark history columns now show "Server Model (N× GPU Model)"
grouped by server+GPU type rather than individual GPU index
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
PowerSustainScore now uses DefaultPowerLimitW as reference so a
manually reduced power limit does not inflate the score. Falls back
to enforced limit if default is unavailable.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Sample server power (IPMI dcmi) during baseline+steady phases in parallel;
compute delta vs GPU-reported sum; flag ratio < 0.75 as unreliable reporting
- Collect base_graphics_clock_mhz, multiprocessor_count, default_power_limit_w
from nvidia-smi alongside existing GPU info
- Add tops_per_sm_per_ghz efficiency metric (model-agnostic silicon quality signal)
- Flag when enforced power limit is below default TDP by >5%
- Add fp64 profile to bee-gpu-burn worker (CUDA_R_64F, CUBLAS_COMPUTE_64F, min cc 8.0)
- Improve Executive Summary: overall pass count, FAILED GPU finding
- Throttle counters now shown as % of steady window instead of raw microseconds
- bible-local: clock calibration research, H100/H200 spec, real-world GEMM baselines
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
