Bielik Anatomy 🧠 Ep.6 - SwiGLU Kernel Fusion: 30% Faster with Triton on RTX 4060

Sixth episode of the Bielik Anatomy series. Eliminating redundant read/write cycles to GPU global memory can unlock massive performance gains. Benchmarked on an RTX 4060, a custom Triton kernel delivers a 15-30% speedup in TFLOPS compared to standard PyTorch and torch.compile.

The episode walks through the Triton code line by line: managing L2 cache swizzling for maximum block reuse, designing dual accumulators in registers for parallel matrix multiplications, and applying the SiLU (Swish) activation directly on-chip before writing back to HBM - fusing the entire SwiGLU operation into a single kernel pass.

Resources:

• GitHub Repo