We removed all the extra compute in all the kernels. We adjusted tile size and autotuned the kernels and used hl.dot instead of separate outer products for the gated_deltanet_recompute_w_u_py.
Team
Placement
ParticipantWe implemented 4 GPU kernels using Helion DSL targeting NVIDIA B200 (Blackwell) GPUs: 1. causal_conv1d: Depthwise causal 1D convolution (core Mamba/Mamba-2…
Here's how each kernel works: 1. FP8 Quantization (fp8_quant) Memory-bound, fully parallel. Takes float32 activations, groups them (64-128…
using helion with NVIDIA ComputeIQ and TileIR.
fully autokernel generated
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
