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PyTorch Helion Hackathon

causal_conv1d - brief summary reading, it's functionality not known and performance not known fp8_quant_py - brief summary reading, it's functionality not known and performance not known gated_deltanet_chunk_fwd_h_py - brief summary reading, it's functionality not known and performance not known gated_deltanet_chunk_fwd_o_py - brief summary reading, it's functionality not known and performance not known gated_deltanet_recompute_w_u_py - brief summary reading, it's functionality not known and performance not known

Team

suvasis

Placement

Participant

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…

Axiom

WarpDrive

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

WarpDrive

Shiprail

using helion with NVIDIA ComputeIQ and TileIR.

Shiprail

cob-farmers

fully autokernel generated

cob-farmers

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…

Team SEWR

GPU modders

GPU modders

GPU modders