Noob

PyTorch Helion Hackathon

I autotuned the kernels and tried to do some DMA-Compute overlapping, though that wasn't really effective.

Team

Placement

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More from PyTorch Helion Hackathon

Axiom

We implemented 4 GPU kernels using Helion DSL targeting NVIDIA B200 (Blackwell) GPUs: 1. causal_conv1d: Depthwise causal 1D convolution (core Mamba/Mamba-2…

WarpDrive

Here's how each kernel works: 1. FP8 Quantization (fp8_quant) Memory-bound, fully parallel. Takes float32 activations, groups them (64-128…

Shiprail

using helion with NVIDIA ComputeIQ and TileIR.

cob-farmers

fully autokernel generated

Team SEWR

causal_conv1d: Causal depthwise 1D convolution with static per-shape configs and a stable fused convolution path; this is the highest-confidence officially…

GPU modders