# Team SEWR

- **Event:** [PyTorch Helion Hackathon](https://cerebralvalley.ai/e/helion-hackathon)
- **When:** Sat, Mar 14 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Placement:** Finalist
- **Team:** [Salvador Escobedo](https://cerebralvalley.ai/u/svdr)
- **GitHub:** https://github.com/pytorch/helion/pull/1719
- **Gallery:** https://cerebralvalley.ai/e/helion-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/helion-hackathon/hackathon/gallery/16

causal_conv1d: Causal depthwise 1D convolution with static per-shape configs and a stable fused convolution path; this is the highest-confidence officially validated variant from my set.

fp8_quant: Group-128 FP8 E4M3 quantization with exact-shape dispatch across the benchmark regimes; this was my fastest locally correct quantization variant.

gated_deltanet_chunk_fwd_h: Inter-chunk state recurrence with a faster multi-chunk state pass while preserving the official-safe execution path; it improved the larger official benchmark cases substantially.

gated_deltanet_chunk_fwd_o: Output kernel with a vectorized fast path that remained locally correct while recovering most of the speed lost in earlier safe rewrites.

gated_deltanet_recompute_w_u: WY-transform forward kernel with a merged-matmul hot path for the dominant 64x64, H=3 cases plus shape dispatch for correctness elsewhere.

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Markdown version of https://cerebralvalley.ai/e/helion-hackathon/hackathon/gallery/16. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt